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ChenWeiLi/Taiwan-inquiry_7B_v2.1
|
ChenWeiLi
| 2024-06-05T04:19:31Z | 13 | 1 |
transformers
|
[
"transformers",
"safetensors",
"mistral",
"text-generation",
"Doctor_consultation",
"Taiwan",
"fine-tuning",
"medicine",
"conversational",
"zh",
"license:apache-2.0",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] |
text-generation
| 2024-04-17T06:02:25Z |
---
license: apache-2.0
language:
- zh
library_name: transformers
pipeline_tag: text-generation
tags:
- Doctor_consultation
- Taiwan
- fine-tuning
- medicine
---
# 🔎 Taiwan-inquiry_7B_v_2.1
<!-- Provide a quick summary of what the model is/does. -->
"The model was fine-tuned based on the **Breeze-7B-Instruct-v1_0** model using a dataset that includes 614 authentic dialogues from the National Cheng Kung University Hospital.
Additionally, 336 synthetic dialogues were included in the training set, carefully crafted to encompass themes drawn from sample questions of the OSCE (臨床技能測驗) sample questions in Taiwan.
These synthetic dialogues were generated using GPT-3.5, Gemini-Pro and Breexe-8x7B-Instruct-v0_1.
The training process was geared towards simulating verbal exchanges between doctors and patients within a hospital environment."
<img src="https://cdn-uploads.huggingface.co/production/uploads/65c07d1b2357c1bded7a92fa/e7QbiYh07kcGwyKniAo0e.png" alt="image/png" style="width:80%; height:auto;">
**************************** **Updates** ****************************
* 2024/04/25 🎉 Released [Taiwan-inquiry_7B_v2.1-awq](https://huggingface.co/ChenWeiLi/Taiwan-inquiry_7B_v2.1-awq)
* 2024/04/29 🎉 Released [Taiwan-inquiry_7B_v2.1.gguf](https://huggingface.co/ChenWeiLi/Taiwan-inquiry_7B_v2.1.gguf)
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [Joseph (Chen-Wei) Li](https://www.linkedin.com/in/joseph-li-3a453b231/), researcher assistant from National Taiwan University Hospital.
- **Model type:** A 7B parameter GPT-like model fine-tuned on a combination of private and synthetic dialogue datasets.
- **Language(s) (NLP):** Traditional Chinese (zh-tw)
- **Finetuned from model :** [Breeze-7B-Instruct-v1_0 ](https://huggingface.co/MediaTek-Research/Breeze-7B-Instruct-v1_0)
### Usage of the model
- The user can take on the role of a doctor, and the model can engage in conversation with you as if it were a patient.
- You can provide the model with a brief patient background in the system prompt, and the model will respond based on that prompt. **(using my patient generator: [**colab**](https://colab.research.google.com/drive/17MSob_tQ2hPtMBL0xOF2zzV6WWe4dEG6?usp=sharing))**
- Directly asking the certain disease about the symptoms and the possible therapies.**（Warning: It's not medical advice!)**
### Model evaluation
The model got the **TMMLU+** (0 shot) performance using [EleutherAI/lm-evaluation-harness](https://github.com/EleutherAI/lm-evaluation-harness) with default settings.
|Details on TMMLU+ (0 shot):<br/>Model | Base Model | STEM | Social Science | Humanities | Other | AVG |
|-----------------------------------------------------|:---------------------:|:---------------:|:--------------:|:----------:|:----------:|:-------:|
| Taiwan-inquiry_7B_v2.1 |Breeze-7B-Instruct-v1_0| 36.06 | 44.61 | 37.49 | 39.61 | 40.29 |
| Taiwan-inquiry_7B_v2.0 |Breeze-7B-Instruct-v0_1| 36.17 | 43.59 | 35.45 | 37.63 | 38.95 |
| Taiwan-inquiry_7B_v1.0 |Taiwan-LLM-7B-v2.1-chat| 26.74 | 29.47 | 26.83 | 29.61 | 28.83 |
### DEMO
- **User: <span style="color: orange;">doctor</span>**
- **Chatbot: <span style="color: gray;">patient</span>**
|
NoteEB/Custom_tiger_google_vit-base-patch16-224
|
NoteEB
| 2024-06-05T04:18:59Z | 219 | 0 |
transformers
|
[
"transformers",
"safetensors",
"vit",
"image-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] |
image-classification
| 2024-06-05T04:18:24Z |
---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
- **Finetuned from model [optional]:** [More Information Needed]
### Model Sources [optional]
<!-- Provide the basic links for the model. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
### Direct Use
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
[More Information Needed]
### Downstream Use [optional]
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
[More Information Needed]
### Training Procedure
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
#### Preprocessing [optional]
[More Information Needed]
#### Training Hyperparameters
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
#### Speeds, Sizes, Times [optional]
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
[More Information Needed]
## Evaluation
<!-- This section describes the evaluation protocols and provides the results. -->
### Testing Data, Factors & Metrics
#### Testing Data
<!-- This should link to a Dataset Card if possible. -->
[More Information Needed]
#### Factors
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
[More Information Needed]
#### Metrics
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
[More Information Needed]
### Results
[More Information Needed]
#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
- **Cloud Provider:** [More Information Needed]
- **Compute Region:** [More Information Needed]
- **Carbon Emitted:** [More Information Needed]
## Technical Specifications [optional]
### Model Architecture and Objective
[More Information Needed]
### Compute Infrastructure
[More Information Needed]
#### Hardware
[More Information Needed]
#### Software
[More Information Needed]
## Citation [optional]
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
[More Information Needed]
## More Information [optional]
[More Information Needed]
## Model Card Authors [optional]
[More Information Needed]
## Model Card Contact
[More Information Needed]
|
Platuth/custom-resnet18-platuthmodel
|
Platuth
| 2024-06-05T04:16:11Z | 80 | 0 |
transformers
|
[
"transformers",
"safetensors",
"pytorch_model_hub_mixin",
"model_hub_mixin",
"endpoints_compatible",
"region:us"
] | null | 2024-06-05T02:59:16Z |
---
tags:
- pytorch_model_hub_mixin
- model_hub_mixin
---
This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
- Library: [More Information Needed]
- Docs: [More Information Needed]
|
backyardai/Senku-70B-Full-GGUF
|
backyardai
| 2024-06-05T04:15:50Z | 302 | 0 |
peft
|
[
"peft",
"gguf",
"generated_from_trainer",
"dataset:Open-Orca/SlimOrca",
"base_model:ShinojiResearch/Senku-70B-Full",
"base_model:adapter:ShinojiResearch/Senku-70B-Full",
"license:cc0-1.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | null | 2024-04-02T18:28:32Z |
---
license: cc0-1.0
library_name: peft
tags:
- generated_from_trainer
base_model: ShinojiResearch/Senku-70B-Full
datasets:
- Open-Orca/SlimOrca
model_name: Senku-70B-Full-GGUF
quantized_by: brooketh
parameter_count: 68976648192
---
<img src="BackyardAI_Banner.png" alt="Backyard.ai" style="height: 90px; min-width: 32px; display: block; margin: auto;">
**<p style="text-align: center;">The official library of GGUF format models for use in the local AI chat app, Backyard AI.</p>**
<p style="text-align: center;"><a href="https://backyard.ai/">Download Backyard AI here to get started.</a></p>
<p style="text-align: center;"><a href="https://www.reddit.com/r/LLM_Quants/">Request Additional models at r/LLM_Quants.</a></p>
***
# Senku Full 70B
- **Creator:** [ShinojiResearch](https://huggingface.co/ShinojiResearch/)
- **Original:** [Senku Full 70B](https://huggingface.co/ShinojiResearch/Senku-70B-Full)
- **Date Created:** 2024-02-06
- **Trained Context:** 32764 tokens
- **Description:** Finetune of miqu-70b-sf dequant of miqudev's leak of Mistral-70B (allegedly an early mistral medium). This version, using the ChatML prompt template, achieved an EQ-Bench score of 85.09.
***
## What is a GGUF?
GGUF is a large language model (LLM) format that can be split between CPU and GPU. GGUFs are compatible with applications based on llama.cpp, such as Backyard AI. Where other model formats require higher end GPUs with ample VRAM, GGUFs can be efficiently run on a wider variety of hardware.
GGUF models are quantized to reduce resource usage, with a tradeoff of reduced coherence at lower quantizations. Quantization reduces the precision of the model weights by changing the number of bits used for each weight.
***
<img src="BackyardAI_Logo.png" alt="Backyard.ai" style="height: 75px; min-width: 32px; display: block; horizontal align: left;">
## Backyard AI
- Free, local AI chat application.
- One-click installation on Mac and PC.
- Automatically use GPU for maximum speed.
- Built-in model manager.
- High-quality character hub.
- Zero-config desktop-to-mobile tethering.
Backyard AI makes it easy to start chatting with AI using your own characters or one of the many found in the built-in character hub. The model manager helps you find the latest and greatest models without worrying about whether it's the correct format. Backyard AI supports advanced features such as lorebooks, author's note, text formatting, custom context size, sampler settings, grammars, local TTS, cloud inference, and tethering, all implemented in a way that is straightforward and reliable.
**Join us on [Discord](https://discord.gg/SyNN2vC9tQ)**
***
|
PhillipGuo/hp-lat-llama-PCA-epsilon6.0-pgd_layer8_16-def_layer8-wikitext-28
|
PhillipGuo
| 2024-06-05T04:14:35Z | 0 | 0 |
transformers
|
[
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-06-05T04:14:26Z |
---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
- **Finetuned from model [optional]:** [More Information Needed]
### Model Sources [optional]
<!-- Provide the basic links for the model. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
### Direct Use
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
[More Information Needed]
### Downstream Use [optional]
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
[More Information Needed]
### Training Procedure
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
#### Preprocessing [optional]
[More Information Needed]
#### Training Hyperparameters
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
#### Speeds, Sizes, Times [optional]
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
[More Information Needed]
## Evaluation
<!-- This section describes the evaluation protocols and provides the results. -->
### Testing Data, Factors & Metrics
#### Testing Data
<!-- This should link to a Dataset Card if possible. -->
[More Information Needed]
#### Factors
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
[More Information Needed]
#### Metrics
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
[More Information Needed]
### Results
[More Information Needed]
#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
- **Cloud Provider:** [More Information Needed]
- **Compute Region:** [More Information Needed]
- **Carbon Emitted:** [More Information Needed]
## Technical Specifications [optional]
### Model Architecture and Objective
[More Information Needed]
### Compute Infrastructure
[More Information Needed]
#### Hardware
[More Information Needed]
#### Software
[More Information Needed]
## Citation [optional]
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
[More Information Needed]
## More Information [optional]
[More Information Needed]
## Model Card Authors [optional]
[More Information Needed]
## Model Card Contact
[More Information Needed]
|
chainup244/Qwen-Qwen1.5-0.5B-1717560753
|
chainup244
| 2024-06-05T04:13:23Z | 144 | 0 |
transformers
|
[
"transformers",
"safetensors",
"qwen2",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] |
text-generation
| 2024-06-05T04:12:38Z |
---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
- **Finetuned from model [optional]:** [More Information Needed]
### Model Sources [optional]
<!-- Provide the basic links for the model. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
### Direct Use
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
[More Information Needed]
### Downstream Use [optional]
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
[More Information Needed]
### Training Procedure
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
#### Preprocessing [optional]
[More Information Needed]
#### Training Hyperparameters
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
#### Speeds, Sizes, Times [optional]
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
[More Information Needed]
## Evaluation
<!-- This section describes the evaluation protocols and provides the results. -->
### Testing Data, Factors & Metrics
#### Testing Data
<!-- This should link to a Dataset Card if possible. -->
[More Information Needed]
#### Factors
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
[More Information Needed]
#### Metrics
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
[More Information Needed]
### Results
[More Information Needed]
#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
- **Cloud Provider:** [More Information Needed]
- **Compute Region:** [More Information Needed]
- **Carbon Emitted:** [More Information Needed]
## Technical Specifications [optional]
### Model Architecture and Objective
[More Information Needed]
### Compute Infrastructure
[More Information Needed]
#### Hardware
[More Information Needed]
#### Software
[More Information Needed]
## Citation [optional]
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
[More Information Needed]
## More Information [optional]
[More Information Needed]
## Model Card Authors [optional]
[More Information Needed]
## Model Card Contact
[More Information Needed]
|
panit/custom-resnet18-model
|
panit
| 2024-06-05T04:12:32Z | 81 | 0 |
transformers
|
[
"transformers",
"safetensors",
"pytorch_model_hub_mixin",
"model_hub_mixin",
"endpoints_compatible",
"region:us"
] | null | 2024-06-05T02:59:11Z |
---
tags:
- pytorch_model_hub_mixin
- model_hub_mixin
---
This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
- Library: [More Information Needed]
- Docs: [More Information Needed]
|
rishisim/q-FrozenLake-v1-4x4-noSlippery
|
rishisim
| 2024-06-05T04:11:25Z | 0 | 0 | null |
[
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] |
reinforcement-learning
| 2024-06-05T04:08:17Z |
---
tags:
- FrozenLake-v1-4x4-no_slippery
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-FrozenLake-v1-4x4-noSlippery
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: FrozenLake-v1-4x4-no_slippery
type: FrozenLake-v1-4x4-no_slippery
metrics:
- type: mean_reward
value: 1.00 +/- 0.00
name: mean_reward
verified: false
---
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="rishisim/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
env = gym.make(model["env_id"])
```
|
kanitthong/custom-resnet18-model
|
kanitthong
| 2024-06-05T04:10:07Z | 79 | 0 |
transformers
|
[
"transformers",
"safetensors",
"pytorch_model_hub_mixin",
"model_hub_mixin",
"endpoints_compatible",
"region:us"
] | null | 2024-06-05T04:08:41Z |
---
tags:
- pytorch_model_hub_mixin
- model_hub_mixin
---
This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
- Library: [More Information Needed]
- Docs: [More Information Needed]
|
warwavn/custom-resnet18-model
|
warwavn
| 2024-06-05T04:08:07Z | 79 | 0 |
transformers
|
[
"transformers",
"safetensors",
"pytorch_model_hub_mixin",
"model_hub_mixin",
"endpoints_compatible",
"region:us"
] | null | 2024-06-05T02:59:35Z |
---
tags:
- pytorch_model_hub_mixin
- model_hub_mixin
---
This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
- Library: [More Information Needed]
- Docs: [More Information Needed]
|
phongtintruong/misjava-api-060424-api-extend-smolbatch
|
phongtintruong
| 2024-06-05T04:07:54Z | 0 | 0 |
transformers
|
[
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-06-05T04:07:37Z |
---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- **Shared by [optional]:** [More Information Needed]
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### Direct Use
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[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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[More Information Needed]
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[More Information Needed]
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
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## Technical Specifications [optional]
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|
Preeda/custom-resnet18-model-2
|
Preeda
| 2024-06-05T04:04:43Z | 79 | 0 |
transformers
|
[
"transformers",
"safetensors",
"pytorch_model_hub_mixin",
"model_hub_mixin",
"endpoints_compatible",
"region:us"
] | null | 2024-06-05T04:04:34Z |
---
tags:
- pytorch_model_hub_mixin
- model_hub_mixin
---
This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
- Library: [More Information Needed]
- Docs: [More Information Needed]
|
richardkelly/Qwen-Qwen1.5-1.8B-1717554065
|
richardkelly
| 2024-06-05T04:04:43Z | 198 | 0 |
transformers
|
[
"transformers",
"safetensors",
"qwen2",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] |
text-generation
| 2024-06-05T02:21:05Z |
---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
### Direct Use
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### Downstream Use [optional]
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
[More Information Needed]
### Training Procedure
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
#### Preprocessing [optional]
[More Information Needed]
#### Training Hyperparameters
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#### Speeds, Sizes, Times [optional]
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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<!-- This section describes the evaluation protocols and provides the results. -->
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<!-- This should link to a Dataset Card if possible. -->
[More Information Needed]
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[More Information Needed]
### Results
[More Information Needed]
#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
- **Cloud Provider:** [More Information Needed]
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|
Tsover/custom-resnet18-model
|
Tsover
| 2024-06-05T04:03:13Z | 81 | 0 |
transformers
|
[
"transformers",
"safetensors",
"pytorch_model_hub_mixin",
"model_hub_mixin",
"endpoints_compatible",
"region:us"
] | null | 2024-06-05T02:51:30Z |
---
tags:
- pytorch_model_hub_mixin
- model_hub_mixin
---
This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
- Library: [More Information Needed]
- Docs: [More Information Needed]
|
PhillipGuo/hp-lat-llama-PCA-epsilon6.0-pgd_layer8_16-def_layer8-wikitext-27
|
PhillipGuo
| 2024-06-05T04:02:53Z | 0 | 0 |
transformers
|
[
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-06-05T04:02:44Z |
---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- **Developed by:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
[More Information Needed]
### Training Procedure
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
#### Preprocessing [optional]
[More Information Needed]
#### Training Hyperparameters
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#### Speeds, Sizes, Times [optional]
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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<!-- This section describes the evaluation protocols and provides the results. -->
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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|
PhillipGuo/hp-lat-llama-PCA-epsilon3.0-pgd_layer8_16-def_layer8-wikitext-27
|
PhillipGuo
| 2024-06-05T04:02:43Z | 0 | 0 |
transformers
|
[
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-06-05T04:02:34Z |
---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
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### Direct Use
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
[More Information Needed]
### Out-of-Scope Use
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## Bias, Risks, and Limitations
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[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
[More Information Needed]
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#### Preprocessing [optional]
[More Information Needed]
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#### Speeds, Sizes, Times [optional]
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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## Evaluation
<!-- This section describes the evaluation protocols and provides the results. -->
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<!-- This should link to a Dataset Card if possible. -->
[More Information Needed]
#### Factors
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
[More Information Needed]
#### Metrics
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
[More Information Needed]
### Results
[More Information Needed]
#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
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|
PhillipGuo/hp-lat-llama-PCA-epsilon1.5-pgd_layer8_16-def_layer8-wikitext-28
|
PhillipGuo
| 2024-06-05T04:02:40Z | 0 | 0 |
transformers
|
[
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-06-05T04:02:30Z |
---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- **Developed by:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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[More Information Needed]
### Out-of-Scope Use
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## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
[More Information Needed]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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## Evaluation
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<!-- This should link to a Dataset Card if possible. -->
[More Information Needed]
#### Factors
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
[More Information Needed]
#### Metrics
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
[More Information Needed]
### Results
[More Information Needed]
#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
- **Cloud Provider:** [More Information Needed]
- **Compute Region:** [More Information Needed]
- **Carbon Emitted:** [More Information Needed]
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## Model Card Contact
[More Information Needed]
|
PhillipGuo/hp-lat-llama-PCA-epsilon0.5-pgd_layer8_16-def_layer8-wikitext-28
|
PhillipGuo
| 2024-06-05T04:02:16Z | 0 | 0 |
transformers
|
[
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-06-05T04:02:08Z |
---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
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## Uses
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[More Information Needed]
### Out-of-Scope Use
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## Bias, Risks, and Limitations
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[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
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[More Information Needed]
## Training Details
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### Training Procedure
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
#### Preprocessing [optional]
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#### Training Hyperparameters
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#### Speeds, Sizes, Times [optional]
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
[More Information Needed]
## Evaluation
<!-- This section describes the evaluation protocols and provides the results. -->
### Testing Data, Factors & Metrics
#### Testing Data
<!-- This should link to a Dataset Card if possible. -->
[More Information Needed]
#### Factors
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[More Information Needed]
#### Metrics
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[More Information Needed]
### Results
[More Information Needed]
#### Summary
## Model Examination [optional]
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## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
## Technical Specifications [optional]
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|
temporary0-0name/pragna_with_adapt2
|
temporary0-0name
| 2024-06-05T04:00:11Z | 128 | 0 |
transformers
|
[
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] |
text-generation
| 2024-06-05T03:46:59Z |
---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
- **Finetuned from model [optional]:** [More Information Needed]
### Model Sources [optional]
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- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
### Direct Use
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[More Information Needed]
### Downstream Use [optional]
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
[More Information Needed]
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#### Preprocessing [optional]
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#### Speeds, Sizes, Times [optional]
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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## Evaluation
<!-- This section describes the evaluation protocols and provides the results. -->
### Testing Data, Factors & Metrics
#### Testing Data
<!-- This should link to a Dataset Card if possible. -->
[More Information Needed]
#### Factors
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[More Information Needed]
#### Metrics
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[More Information Needed]
### Results
[More Information Needed]
#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
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|
ThanakritS/custom-MoMo-model
|
ThanakritS
| 2024-06-05T03:59:47Z | 51 | 0 |
transformers
|
[
"transformers",
"safetensors",
"pytorch_model_hub_mixin",
"model_hub_mixin",
"endpoints_compatible",
"region:us"
] | null | 2024-06-05T02:56:42Z |
---
tags:
- pytorch_model_hub_mixin
- model_hub_mixin
---
This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
- Library: [More Information Needed]
- Docs: [More Information Needed]
|
PhillipGuo/hp-lat-llama-PCA-epsilon1.5-pgd_layer8_16-def_layer8-wikitext-27
|
PhillipGuo
| 2024-06-05T03:59:11Z | 0 | 0 |
transformers
|
[
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-06-05T03:59:01Z |
---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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## Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
### Direct Use
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[More Information Needed]
### Downstream Use [optional]
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
[More Information Needed]
### Training Procedure
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
#### Preprocessing [optional]
[More Information Needed]
#### Training Hyperparameters
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
#### Speeds, Sizes, Times [optional]
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
[More Information Needed]
## Evaluation
<!-- This section describes the evaluation protocols and provides the results. -->
### Testing Data, Factors & Metrics
#### Testing Data
<!-- This should link to a Dataset Card if possible. -->
[More Information Needed]
#### Factors
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
[More Information Needed]
#### Metrics
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
[More Information Needed]
### Results
[More Information Needed]
#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
- **Cloud Provider:** [More Information Needed]
- **Compute Region:** [More Information Needed]
- **Carbon Emitted:** [More Information Needed]
## Technical Specifications [optional]
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[More Information Needed]
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[More Information Needed]
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|
PhillipGuo/hp-lat-llama-PCA-epsilon0.5-pgd_layer8_16-def_layer8-wikitext-27
|
PhillipGuo
| 2024-06-05T03:59:10Z | 0 | 0 |
transformers
|
[
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-06-05T03:59:01Z |
---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
- **Finetuned from model [optional]:** [More Information Needed]
### Model Sources [optional]
<!-- Provide the basic links for the model. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
### Direct Use
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
[More Information Needed]
### Downstream Use [optional]
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
[More Information Needed]
### Training Procedure
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
#### Preprocessing [optional]
[More Information Needed]
#### Training Hyperparameters
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
#### Speeds, Sizes, Times [optional]
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
[More Information Needed]
## Evaluation
<!-- This section describes the evaluation protocols and provides the results. -->
### Testing Data, Factors & Metrics
#### Testing Data
<!-- This should link to a Dataset Card if possible. -->
[More Information Needed]
#### Factors
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
[More Information Needed]
#### Metrics
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
[More Information Needed]
### Results
[More Information Needed]
#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
- **Cloud Provider:** [More Information Needed]
- **Compute Region:** [More Information Needed]
- **Carbon Emitted:** [More Information Needed]
## Technical Specifications [optional]
### Model Architecture and Objective
[More Information Needed]
### Compute Infrastructure
[More Information Needed]
#### Hardware
[More Information Needed]
#### Software
[More Information Needed]
## Citation [optional]
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
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[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
[More Information Needed]
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[More Information Needed]
|
tsavage68/UTI_M2_50steps_1e6rate_05beta_CSFTDPO
|
tsavage68
| 2024-06-05T03:58:05Z | 6 | 0 |
transformers
|
[
"transformers",
"safetensors",
"mistral",
"text-generation",
"trl",
"dpo",
"generated_from_trainer",
"conversational",
"base_model:tsavage68/UTI_M2_1000steps_1e5rate_SFT",
"base_model:finetune:tsavage68/UTI_M2_1000steps_1e5rate_SFT",
"license:apache-2.0",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] |
text-generation
| 2024-06-05T03:52:41Z |
---
license: apache-2.0
base_model: tsavage68/UTI_M2_1000steps_1e5rate_SFT
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: UTI_M2_50steps_1e6rate_05beta_CSFTDPO
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# UTI_M2_50steps_1e6rate_05beta_CSFTDPO
This model is a fine-tuned version of [tsavage68/UTI_M2_1000steps_1e5rate_SFT](https://huggingface.co/tsavage68/UTI_M2_1000steps_1e5rate_SFT) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0694
- Rewards/chosen: 1.8275
- Rewards/rejected: -9.1239
- Rewards/accuracies: 0.9000
- Rewards/margins: 10.9514
- Logps/rejected: -62.4139
- Logps/chosen: -16.6395
- Logits/rejected: -3.8318
- Logits/chosen: -3.7514
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-06
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 50
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.314 | 0.3333 | 25 | 0.1006 | 1.1509 | -3.4985 | 0.9000 | 4.6494 | -51.1631 | -17.9927 | -3.8266 | -3.7515 |
| 0.0175 | 0.6667 | 50 | 0.0694 | 1.8275 | -9.1239 | 0.9000 | 10.9514 | -62.4139 | -16.6395 | -3.8318 | -3.7514 |
### Framework versions
- Transformers 4.41.2
- Pytorch 2.0.0+cu117
- Datasets 2.19.2
- Tokenizers 0.19.1
|
Manirathinam21/zephyr-7b-finetuned-support-chatbot
|
Manirathinam21
| 2024-06-05T03:57:45Z | 1 | 0 |
peft
|
[
"peft",
"tensorboard",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:TheBloke/zephyr-7B-alpha-GPTQ",
"base_model:adapter:TheBloke/zephyr-7B-alpha-GPTQ",
"license:mit",
"region:us"
] | null | 2024-06-05T03:24:54Z |
---
license: mit
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: TheBloke/zephyr-7B-alpha-GPTQ
model-index:
- name: zephyr-7b-finetuned-support-chatbot
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# zephyr-7b-finetuned-support-chatbot
This model is a fine-tuned version of [TheBloke/zephyr-7B-alpha-GPTQ](https://huggingface.co/TheBloke/zephyr-7B-alpha-GPTQ) on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- training_steps: 250
- mixed_precision_training: Native AMP
### Training results
### Framework versions
- PEFT 0.11.1
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
|
Minbyul/llama3-8b-instruct-wo-kqa_golden-iter-sft-step1
|
Minbyul
| 2024-06-05T03:57:06Z | 8 | 0 |
transformers
|
[
"transformers",
"safetensors",
"llama",
"text-generation",
"alignment-handbook",
"trl",
"sft",
"generated_from_trainer",
"conversational",
"dataset:HuggingFaceH4/deita-10k-v0-sft",
"base_model:meta-llama/Meta-Llama-3-8B-Instruct",
"base_model:finetune:meta-llama/Meta-Llama-3-8B-Instruct",
"license:llama3",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] |
text-generation
| 2024-06-05T03:10:48Z |
---
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
- trl
- sft
- generated_from_trainer
datasets:
- HuggingFaceH4/deita-10k-v0-sft
model-index:
- name: llama3-8b-instruct-wo-kqa_golden-iter-sft-step1
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# llama3-8b-instruct-wo-kqa_golden-iter-sft-step1
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the HuggingFaceH4/deita-10k-v0-sft dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4835
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6774 | 1.0 | 11 | 0.5812 |
| 0.3859 | 2.0 | 22 | 0.4977 |
| 0.2871 | 3.0 | 33 | 0.4835 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2
|
nuttcutee/Mu-resnet18-model
|
nuttcutee
| 2024-06-05T03:57:02Z | 79 | 0 |
transformers
|
[
"transformers",
"safetensors",
"pytorch_model_hub_mixin",
"model_hub_mixin",
"endpoints_compatible",
"region:us"
] | null | 2024-06-05T02:55:46Z |
---
tags:
- pytorch_model_hub_mixin
- model_hub_mixin
---
This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
- Library: [More Information Needed]
- Docs: [More Information Needed]
|
tyzhu/squad_qa_title_v5_full_recite_full_passage_meta-llama_Llama-2-7b-hf_3e-5_lora
|
tyzhu
| 2024-06-05T03:56:46Z | 0 | 0 | null |
[
"generated_from_trainer",
"base_model:meta-llama/Llama-2-7b-hf",
"base_model:finetune:meta-llama/Llama-2-7b-hf",
"license:llama2",
"region:us"
] | null | 2024-06-02T18:00:07Z |
---
license: llama2
base_model: meta-llama/Llama-2-7b-hf
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: squad_qa_title_v5_full_recite_full_passage_meta-llama_Llama-2-7b-hf_3e-5_lora
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# squad_qa_title_v5_full_recite_full_passage_meta-llama_Llama-2-7b-hf_3e-5_lora
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3501
- Accuracy: 0.8635
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 3e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 50.0
### Training results
| Training Loss | Epoch | Step | Accuracy | Validation Loss |
|:-------------:|:-----:|:----:|:--------:|:---------------:|
| 1.3765 | 1.0 | 158 | 0.7571 | 1.1334 |
| 0.9146 | 2.0 | 317 | 0.7872 | 0.8427 |
| 0.6027 | 3.0 | 475 | 0.8261 | 0.4987 |
| 0.2157 | 4.0 | 634 | 0.8522 | 0.3006 |
| 0.1491 | 5.0 | 792 | 0.8620 | 0.2357 |
| 0.1078 | 6.0 | 951 | 0.8645 | 0.2159 |
| 0.099 | 7.0 | 1109 | 0.8666 | 0.2088 |
| 0.0973 | 8.0 | 1268 | 0.8663 | 0.2123 |
| 0.0928 | 9.0 | 1426 | 0.8668 | 0.2147 |
| 0.0863 | 10.0 | 1585 | 0.8672 | 0.2138 |
| 0.0791 | 11.0 | 1743 | 0.8662 | 0.2347 |
| 0.0753 | 12.0 | 1902 | 0.8664 | 0.2411 |
| 0.0691 | 13.0 | 2060 | 0.8656 | 0.2541 |
| 0.066 | 14.0 | 2219 | 0.8669 | 0.2489 |
| 0.0623 | 15.0 | 2377 | 0.8659 | 0.2588 |
| 0.0577 | 16.0 | 2536 | 0.8650 | 0.2835 |
| 0.0559 | 17.0 | 2694 | 0.8652 | 0.3002 |
| 0.0527 | 18.0 | 2844 | 0.2859 | 0.8656 |
| 0.0518 | 19.0 | 3003 | 0.2897 | 0.8660 |
| 0.0498 | 20.0 | 3161 | 0.2925 | 0.8659 |
| 0.0492 | 21.0 | 3320 | 0.3170 | 0.8654 |
| 0.0479 | 22.0 | 3478 | 0.3152 | 0.8656 |
| 0.0481 | 23.0 | 3637 | 0.3220 | 0.8653 |
| 0.0467 | 24.0 | 3795 | 0.3125 | 0.8658 |
| 0.0463 | 25.0 | 3954 | 0.3322 | 0.8656 |
| 0.0469 | 26.0 | 4112 | 0.3348 | 0.8651 |
| 0.0453 | 27.0 | 4271 | 0.3273 | 0.8657 |
| 0.0454 | 28.0 | 4429 | 0.3284 | 0.8651 |
| 0.0455 | 29.0 | 4588 | 0.3430 | 0.8647 |
| 0.0461 | 30.0 | 4746 | 0.3358 | 0.8655 |
| 0.0452 | 31.0 | 4905 | 0.3390 | 0.8657 |
| 0.0437 | 32.0 | 5063 | 0.3453 | 0.8657 |
| 0.0442 | 33.0 | 5222 | 0.3508 | 0.8658 |
| 0.0438 | 34.0 | 5380 | 0.3438 | 0.8659 |
| 0.0443 | 35.0 | 5539 | 0.3416 | 0.8655 |
| 0.0438 | 36.0 | 5697 | 0.3433 | 0.8657 |
| 0.0442 | 37.0 | 5856 | 0.3478 | 0.8647 |
| 0.0472 | 38.0 | 6014 | 0.3471 | 0.8648 |
| 0.0461 | 39.0 | 6173 | 0.3345 | 0.8654 |
| 0.0441 | 40.0 | 6331 | 0.3421 | 0.8656 |
| 0.0433 | 41.0 | 6490 | 0.3575 | 0.8659 |
| 0.0427 | 42.0 | 6648 | 0.3635 | 0.8658 |
| 0.0429 | 43.0 | 6807 | 0.3560 | 0.8662 |
| 0.042 | 44.0 | 6965 | 0.3554 | 0.8661 |
| 0.0427 | 45.0 | 7124 | 0.3583 | 0.8658 |
| 0.0423 | 46.0 | 7282 | 0.3799 | 0.8660 |
| 0.0422 | 47.0 | 7441 | 0.3888 | 0.8659 |
| 0.0421 | 48.0 | 7599 | 0.3795 | 0.8658 |
| 0.0419 | 49.0 | 7758 | 0.3671 | 0.8662 |
| 0.0483 | 49.9 | 7900 | 0.3501 | 0.8635 |
### Framework versions
- Transformers 4.34.0
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.14.1
|
patchara-sw/custom-resnet18-model
|
patchara-sw
| 2024-06-05T03:53:34Z | 79 | 0 |
transformers
|
[
"transformers",
"safetensors",
"pytorch_model_hub_mixin",
"model_hub_mixin",
"endpoints_compatible",
"region:us"
] | null | 2024-06-05T03:04:25Z |
---
tags:
- pytorch_model_hub_mixin
- model_hub_mixin
---
This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
- Library: [More Information Needed]
- Docs: [More Information Needed]
|
ZON8955/uuu_fine_tune_gpt2
|
ZON8955
| 2024-06-05T03:51:00Z | 0 | 0 | null |
[
"license:apache-2.0",
"region:us"
] | null | 2024-06-05T03:51:00Z |
---
license: apache-2.0
---
|
JJ1970/uuu_fine_tune_gpt2
|
JJ1970
| 2024-06-05T03:50:38Z | 144 | 0 |
transformers
|
[
"transformers",
"safetensors",
"gpt2",
"text-generation",
"license:apache-2.0",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] |
text-generation
| 2024-06-05T03:29:57Z |
---
license: apache-2.0
---
|
dinhhung1508/vit5-base-hanoi-text-classification
|
dinhhung1508
| 2024-06-05T03:50:13Z | 54 | 0 |
transformers
|
[
"transformers",
"tensorboard",
"safetensors",
"t5",
"text-classification",
"generated_from_trainer",
"base_model:VietAI/vit5-base",
"base_model:finetune:VietAI/vit5-base",
"license:mit",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] |
text-classification
| 2024-06-05T03:42:56Z |
---
license: mit
base_model: VietAI/vit5-base
tags:
- generated_from_trainer
model-index:
- name: vit5-base-hanoi-text-classification
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vit5-base-hanoi-text-classification
This model is a fine-tuned version of [VietAI/vit5-base](https://huggingface.co/VietAI/vit5-base) on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
### Training results
### Framework versions
- Transformers 4.41.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
|
RyanTsai0321/uuu_fine_tune_gpt2
|
RyanTsai0321
| 2024-06-05T03:45:50Z | 144 | 0 |
transformers
|
[
"transformers",
"safetensors",
"gpt2",
"text-generation",
"license:apache-2.0",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] |
text-generation
| 2024-06-05T03:01:04Z |
---
license: apache-2.0
---
|
siaowei-test/uuu_fine_tune_gpt2
|
siaowei-test
| 2024-06-05T03:45:28Z | 144 | 0 |
transformers
|
[
"transformers",
"safetensors",
"gpt2",
"text-generation",
"license:apache-2.0",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] |
text-generation
| 2024-06-05T03:17:53Z |
---
license: apache-2.0
---
|
ZaqAttack/bert-finetuned-ner
|
ZaqAttack
| 2024-06-05T03:45:10Z | 62 | 0 |
transformers
|
[
"transformers",
"tf",
"bert",
"token-classification",
"generated_from_keras_callback",
"base_model:google-bert/bert-base-cased",
"base_model:finetune:google-bert/bert-base-cased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] |
token-classification
| 2024-06-04T22:24:15Z |
---
license: apache-2.0
base_model: bert-base-cased
tags:
- generated_from_keras_callback
model-index:
- name: ZaqAttack/bert-finetuned-ner
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# ZaqAttack/bert-finetuned-ner
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.0477
- Validation Loss: 0.0576
- Epoch: 1
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 2634, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: mixed_float16
### Training results
| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 0.1778 | 0.0689 | 0 |
| 0.0477 | 0.0576 | 1 |
### Framework versions
- Transformers 4.41.1
- TensorFlow 2.15.0
- Datasets 2.19.2
- Tokenizers 0.19.1
|
Felix-Jas/uuu_fine_tune_gpt2
|
Felix-Jas
| 2024-06-05T03:44:55Z | 144 | 0 |
transformers
|
[
"transformers",
"safetensors",
"gpt2",
"text-generation",
"license:apache-2.0",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] |
text-generation
| 2024-06-05T03:18:18Z |
---
license: apache-2.0
---
|
PhillipGuo/hp-lat-llama-PCA-epsilon0.5-pgd_layer8_16-def_layer8-wikitext-26
|
PhillipGuo
| 2024-06-05T03:43:57Z | 0 | 0 |
transformers
|
[
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-06-05T03:43:47Z |
---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
- **Finetuned from model [optional]:** [More Information Needed]
### Model Sources [optional]
<!-- Provide the basic links for the model. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
### Direct Use
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
[More Information Needed]
### Downstream Use [optional]
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
[More Information Needed]
### Training Procedure
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
#### Preprocessing [optional]
[More Information Needed]
#### Training Hyperparameters
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
#### Speeds, Sizes, Times [optional]
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
[More Information Needed]
## Evaluation
<!-- This section describes the evaluation protocols and provides the results. -->
### Testing Data, Factors & Metrics
#### Testing Data
<!-- This should link to a Dataset Card if possible. -->
[More Information Needed]
#### Factors
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
[More Information Needed]
#### Metrics
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
[More Information Needed]
### Results
[More Information Needed]
#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
- **Cloud Provider:** [More Information Needed]
- **Compute Region:** [More Information Needed]
- **Carbon Emitted:** [More Information Needed]
## Technical Specifications [optional]
### Model Architecture and Objective
[More Information Needed]
### Compute Infrastructure
[More Information Needed]
#### Hardware
[More Information Needed]
#### Software
[More Information Needed]
## Citation [optional]
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
[More Information Needed]
## More Information [optional]
[More Information Needed]
## Model Card Authors [optional]
[More Information Needed]
## Model Card Contact
[More Information Needed]
|
NoteEB/custom-resnet18-model-eb2
|
NoteEB
| 2024-06-05T03:42:13Z | 79 | 0 |
transformers
|
[
"transformers",
"safetensors",
"pytorch_model_hub_mixin",
"model_hub_mixin",
"endpoints_compatible",
"region:us"
] | null | 2024-06-05T03:42:02Z |
---
tags:
- pytorch_model_hub_mixin
- model_hub_mixin
---
This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
- Library: [More Information Needed]
- Docs: [More Information Needed]
|
XBLUECATX/KeypointRCNN_Pretrained
|
XBLUECATX
| 2024-06-05T03:41:45Z | 0 | 0 | null |
[
"license:llama3",
"region:us"
] | null | 2024-06-05T03:38:29Z |
---
license: llama3
---
This weight is pre-trained for Keypoint Detection Tutorial usage.
Incase the students cannot train due to hardware limitation or other issues.
https://github.com/xxBLUECATxx/Simple_Keypoint_Detect
|
NoteEB/custom-resnet18-model
|
NoteEB
| 2024-06-05T03:39:38Z | 81 | 0 |
transformers
|
[
"transformers",
"safetensors",
"pytorch_model_hub_mixin",
"model_hub_mixin",
"endpoints_compatible",
"region:us"
] | null | 2024-06-05T03:39:35Z |
---
tags:
- pytorch_model_hub_mixin
- model_hub_mixin
---
This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
- Library: [More Information Needed]
- Docs: [More Information Needed]
|
0xfaskety/Qwen-Qwen1.5-7B-1717558334
|
0xfaskety
| 2024-06-05T03:38:58Z | 8 | 0 |
transformers
|
[
"transformers",
"safetensors",
"qwen2",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] |
text-generation
| 2024-06-05T03:32:17Z |
---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
- **Finetuned from model [optional]:** [More Information Needed]
### Model Sources [optional]
<!-- Provide the basic links for the model. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
### Direct Use
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
[More Information Needed]
### Downstream Use [optional]
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
[More Information Needed]
### Training Procedure
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
#### Preprocessing [optional]
[More Information Needed]
#### Training Hyperparameters
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
#### Speeds, Sizes, Times [optional]
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
[More Information Needed]
## Evaluation
<!-- This section describes the evaluation protocols and provides the results. -->
### Testing Data, Factors & Metrics
#### Testing Data
<!-- This should link to a Dataset Card if possible. -->
[More Information Needed]
#### Factors
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
[More Information Needed]
#### Metrics
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
[More Information Needed]
### Results
[More Information Needed]
#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
- **Cloud Provider:** [More Information Needed]
- **Compute Region:** [More Information Needed]
- **Carbon Emitted:** [More Information Needed]
## Technical Specifications [optional]
### Model Architecture and Objective
[More Information Needed]
### Compute Infrastructure
[More Information Needed]
#### Hardware
[More Information Needed]
#### Software
[More Information Needed]
## Citation [optional]
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
[More Information Needed]
## More Information [optional]
[More Information Needed]
## Model Card Authors [optional]
[More Information Needed]
## Model Card Contact
[More Information Needed]
|
superdavidyeh/uuu_fine_tune_taipower
|
superdavidyeh
| 2024-06-05T03:37:09Z | 144 | 0 |
transformers
|
[
"transformers",
"safetensors",
"gpt2",
"text-generation",
"license:apache-2.0",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] |
text-generation
| 2024-06-05T03:01:57Z |
---
license: apache-2.0
---
|
PhillipGuo/hp-lat-llama-PCA-epsilon6.0-pgd_layer8_16-def_layer8-wikitext-25
|
PhillipGuo
| 2024-06-05T03:36:18Z | 0 | 0 |
transformers
|
[
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-06-05T03:36:08Z |
---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
- **Finetuned from model [optional]:** [More Information Needed]
### Model Sources [optional]
<!-- Provide the basic links for the model. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
### Direct Use
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
[More Information Needed]
### Downstream Use [optional]
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
[More Information Needed]
### Training Procedure
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
#### Preprocessing [optional]
[More Information Needed]
#### Training Hyperparameters
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
#### Speeds, Sizes, Times [optional]
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
[More Information Needed]
## Evaluation
<!-- This section describes the evaluation protocols and provides the results. -->
### Testing Data, Factors & Metrics
#### Testing Data
<!-- This should link to a Dataset Card if possible. -->
[More Information Needed]
#### Factors
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
[More Information Needed]
#### Metrics
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
[More Information Needed]
### Results
[More Information Needed]
#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
- **Cloud Provider:** [More Information Needed]
- **Compute Region:** [More Information Needed]
- **Carbon Emitted:** [More Information Needed]
## Technical Specifications [optional]
### Model Architecture and Objective
[More Information Needed]
### Compute Infrastructure
[More Information Needed]
#### Hardware
[More Information Needed]
#### Software
[More Information Needed]
## Citation [optional]
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
[More Information Needed]
## More Information [optional]
[More Information Needed]
## Model Card Authors [optional]
[More Information Needed]
## Model Card Contact
[More Information Needed]
|
gaminwu/gpt2_finetuned_medical
|
gaminwu
| 2024-06-05T03:35:36Z | 145 | 0 |
transformers
|
[
"transformers",
"safetensors",
"gpt2",
"text-generation",
"license:apache-2.0",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] |
text-generation
| 2024-06-05T03:34:27Z |
---
license: apache-2.0
---
|
DuridMing/uuu_fine_tune_taipower
|
DuridMing
| 2024-06-05T03:35:25Z | 144 | 0 |
transformers
|
[
"transformers",
"safetensors",
"gpt2",
"text-generation",
"license:apache-2.0",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] |
text-generation
| 2024-06-05T03:01:53Z |
---
license: apache-2.0
---
|
JJ1970/uuu_fine_tune_taipower
|
JJ1970
| 2024-06-05T03:35:06Z | 144 | 0 |
transformers
|
[
"transformers",
"safetensors",
"gpt2",
"text-generation",
"license:apache-2.0",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] |
text-generation
| 2024-06-05T03:27:38Z |
---
license: apache-2.0
---
|
PhillipGuo/hp-lat-llama-PCA-epsilon3.0-pgd_layer8_16-def_layer8-wikitext-25
|
PhillipGuo
| 2024-06-05T03:34:55Z | 0 | 0 |
transformers
|
[
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-06-05T03:34:46Z |
---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
- **Finetuned from model [optional]:** [More Information Needed]
### Model Sources [optional]
<!-- Provide the basic links for the model. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
### Direct Use
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
[More Information Needed]
### Downstream Use [optional]
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
[More Information Needed]
### Training Procedure
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
#### Preprocessing [optional]
[More Information Needed]
#### Training Hyperparameters
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
#### Speeds, Sizes, Times [optional]
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
[More Information Needed]
## Evaluation
<!-- This section describes the evaluation protocols and provides the results. -->
### Testing Data, Factors & Metrics
#### Testing Data
<!-- This should link to a Dataset Card if possible. -->
[More Information Needed]
#### Factors
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
[More Information Needed]
#### Metrics
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
[More Information Needed]
### Results
[More Information Needed]
#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
- **Cloud Provider:** [More Information Needed]
- **Compute Region:** [More Information Needed]
- **Carbon Emitted:** [More Information Needed]
## Technical Specifications [optional]
### Model Architecture and Objective
[More Information Needed]
### Compute Infrastructure
[More Information Needed]
#### Hardware
[More Information Needed]
#### Software
[More Information Needed]
## Citation [optional]
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
[More Information Needed]
## More Information [optional]
[More Information Needed]
## Model Card Authors [optional]
[More Information Needed]
## Model Card Contact
[More Information Needed]
|
Albert-Oat/custom-resnet18-model
|
Albert-Oat
| 2024-06-05T03:34:29Z | 79 | 0 |
transformers
|
[
"transformers",
"safetensors",
"pytorch_model_hub_mixin",
"model_hub_mixin",
"endpoints_compatible",
"region:us"
] | null | 2024-06-05T03:34:24Z |
---
tags:
- pytorch_model_hub_mixin
- model_hub_mixin
---
This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
- Library: [More Information Needed]
- Docs: [More Information Needed]
|
jackykjk/uuu_fine_tune_gpt2
|
jackykjk
| 2024-06-05T03:34:29Z | 144 | 0 |
transformers
|
[
"transformers",
"safetensors",
"gpt2",
"text-generation",
"license:apache-2.0",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] |
text-generation
| 2024-06-05T03:03:00Z |
---
license: apache-2.0
---
|
Jd3Fermin/ppo-Huggy
|
Jd3Fermin
| 2024-06-05T03:33:11Z | 0 | 0 |
ml-agents
|
[
"ml-agents",
"onnx",
"unity-ml-agents",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Huggy",
"region:us"
] |
reinforcement-learning
| 2024-06-05T02:13:43Z |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Huggy
library_name: ml-agents
---
### Resume the training
```
mlagents-learn ./content/ml-agents/config/ppo/Huggy.yaml /config/ppo/Huggy.yaml --run-"id=HuggyTraining" --resume
```
|
leon625/gpt2_finetuned
|
leon625
| 2024-06-05T03:33:07Z | 143 | 0 |
transformers
|
[
"transformers",
"safetensors",
"gpt2",
"text-generation",
"license:apache-2.0",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] |
text-generation
| 2024-06-05T03:19:40Z |
---
license: apache-2.0
---
|
Chanchaiw/custom-resnet18-model
|
Chanchaiw
| 2024-06-05T03:32:52Z | 79 | 0 |
transformers
|
[
"transformers",
"safetensors",
"pytorch_model_hub_mixin",
"model_hub_mixin",
"endpoints_compatible",
"region:us"
] | null | 2024-06-05T02:58:51Z |
---
tags:
- pytorch_model_hub_mixin
- model_hub_mixin
---
This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
- Library: [More Information Needed]
- Docs: [More Information Needed]
|
Preeda/custom-resnet18-model-1
|
Preeda
| 2024-06-05T03:30:45Z | 79 | 0 |
transformers
|
[
"transformers",
"safetensors",
"pytorch_model_hub_mixin",
"model_hub_mixin",
"endpoints_compatible",
"region:us"
] | null | 2024-06-05T03:30:36Z |
---
tags:
- pytorch_model_hub_mixin
- model_hub_mixin
---
This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
- Library: [More Information Needed]
- Docs: [More Information Needed]
|
HenryLau1103/uuu_fine_tune_gpt2
|
HenryLau1103
| 2024-06-05T03:30:41Z | 144 | 0 |
transformers
|
[
"transformers",
"safetensors",
"gpt2",
"text-generation",
"license:apache-2.0",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] |
text-generation
| 2024-06-05T03:00:47Z |
---
license: apache-2.0
---
|
Airtan23/custom-resnet18-model-ex2
|
Airtan23
| 2024-06-05T03:27:18Z | 80 | 0 |
transformers
|
[
"transformers",
"safetensors",
"pytorch_model_hub_mixin",
"model_hub_mixin",
"endpoints_compatible",
"region:us"
] | null | 2024-06-05T03:27:11Z |
---
tags:
- pytorch_model_hub_mixin
- model_hub_mixin
---
This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
- Library: [More Information Needed]
- Docs: [More Information Needed]
|
Oosana/custom-resnet18-model
|
Oosana
| 2024-06-05T03:25:55Z | 80 | 0 |
transformers
|
[
"transformers",
"safetensors",
"pytorch_model_hub_mixin",
"model_hub_mixin",
"endpoints_compatible",
"region:us"
] | null | 2024-06-05T02:58:34Z |
---
tags:
- pytorch_model_hub_mixin
- model_hub_mixin
---
This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
- Library: [More Information Needed]
- Docs: [More Information Needed]
|
RyanTsai0321/uuu_fine_tune_taipower
|
RyanTsai0321
| 2024-06-05T03:22:20Z | 147 | 0 |
transformers
|
[
"transformers",
"safetensors",
"gpt2",
"text-generation",
"license:apache-2.0",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] |
text-generation
| 2024-06-05T03:00:52Z |
---
license: apache-2.0
---
|
Timmy1281/uuu_fine_tune_taipower
|
Timmy1281
| 2024-06-05T03:22:10Z | 145 | 0 |
transformers
|
[
"transformers",
"safetensors",
"gpt2",
"text-generation",
"license:apache-2.0",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] |
text-generation
| 2024-06-05T03:01:00Z |
---
license: apache-2.0
---
|
Hannanana/uuu_fine_tune_taipower
|
Hannanana
| 2024-06-05T03:21:52Z | 144 | 0 |
transformers
|
[
"transformers",
"safetensors",
"gpt2",
"text-generation",
"license:apache-2.0",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] |
text-generation
| 2024-06-05T03:00:38Z |
---
license: apache-2.0
---
|
andrewboy70900/uuu_fine_tune_taipower
|
andrewboy70900
| 2024-06-05T03:21:47Z | 144 | 0 |
transformers
|
[
"transformers",
"safetensors",
"gpt2",
"text-generation",
"license:apache-2.0",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] |
text-generation
| 2024-06-05T03:00:36Z |
---
license: apache-2.0
---
|
Ponrudee/custom-resnet18-model
|
Ponrudee
| 2024-06-05T03:20:24Z | 80 | 0 |
transformers
|
[
"transformers",
"safetensors",
"pytorch_model_hub_mixin",
"model_hub_mixin",
"endpoints_compatible",
"region:us"
] | null | 2024-06-05T02:59:57Z |
---
tags:
- pytorch_model_hub_mixin
- model_hub_mixin
---
This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
- Library: [More Information Needed]
- Docs: [More Information Needed]
|
gaminwu/uuu_fine_tune_taipower
|
gaminwu
| 2024-06-05T03:18:20Z | 144 | 0 |
transformers
|
[
"transformers",
"safetensors",
"gpt2",
"text-generation",
"license:apache-2.0",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] |
text-generation
| 2024-06-05T03:11:56Z |
---
license: apache-2.0
---
|
WachirawitV/Custom-Test-T-resnet18-model
|
WachirawitV
| 2024-06-05T03:16:09Z | 79 | 0 |
transformers
|
[
"transformers",
"safetensors",
"pytorch_model_hub_mixin",
"model_hub_mixin",
"endpoints_compatible",
"region:us"
] | null | 2024-06-05T03:03:58Z |
---
tags:
- pytorch_model_hub_mixin
- model_hub_mixin
---
This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
- Library: [More Information Needed]
- Docs: [More Information Needed]
|
siaowei-test/tcp2024
|
siaowei-test
| 2024-06-05T03:14:24Z | 0 | 0 | null |
[
"license:apache-2.0",
"region:us"
] | null | 2024-06-05T03:14:24Z |
---
license: apache-2.0
---
|
gaminwu/uuu_fine_tune_gpt2
|
gaminwu
| 2024-06-05T03:12:14Z | 0 | 0 | null |
[
"license:apache-2.0",
"region:us"
] | null | 2024-06-05T03:12:13Z |
---
license: apache-2.0
---
|
PhillipGuo/hp-lat-llama-PCA-epsilon0.5-pgd_layer8_16-def_layer8-wikitext-24
|
PhillipGuo
| 2024-06-05T03:12:00Z | 0 | 0 |
transformers
|
[
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-06-05T03:11:47Z |
---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
- **Finetuned from model [optional]:** [More Information Needed]
### Model Sources [optional]
<!-- Provide the basic links for the model. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
### Direct Use
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
[More Information Needed]
### Downstream Use [optional]
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
[More Information Needed]
### Training Procedure
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
#### Preprocessing [optional]
[More Information Needed]
#### Training Hyperparameters
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
#### Speeds, Sizes, Times [optional]
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
[More Information Needed]
## Evaluation
<!-- This section describes the evaluation protocols and provides the results. -->
### Testing Data, Factors & Metrics
#### Testing Data
<!-- This should link to a Dataset Card if possible. -->
[More Information Needed]
#### Factors
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
[More Information Needed]
#### Metrics
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
[More Information Needed]
### Results
[More Information Needed]
#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
- **Cloud Provider:** [More Information Needed]
- **Compute Region:** [More Information Needed]
- **Carbon Emitted:** [More Information Needed]
## Technical Specifications [optional]
### Model Architecture and Objective
[More Information Needed]
### Compute Infrastructure
[More Information Needed]
#### Hardware
[More Information Needed]
#### Software
[More Information Needed]
## Citation [optional]
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
[More Information Needed]
## More Information [optional]
[More Information Needed]
## Model Card Authors [optional]
[More Information Needed]
## Model Card Contact
[More Information Needed]
|
Ivanl122/Ruiva
|
Ivanl122
| 2024-06-05T03:10:59Z | 0 | 0 | null |
[
"region:us"
] | null | 2024-06-05T03:09:21Z |
Incredibly beautiful ginger haired woman with freckles. wavy hair, raw photo
|
Minbyul/llama3-8b-instruct-wo-healthsearch_qa-iter-sft-step1
|
Minbyul
| 2024-06-05T03:09:28Z | 6 | 0 |
transformers
|
[
"transformers",
"safetensors",
"llama",
"text-generation",
"alignment-handbook",
"trl",
"sft",
"generated_from_trainer",
"conversational",
"dataset:HuggingFaceH4/deita-10k-v0-sft",
"base_model:meta-llama/Meta-Llama-3-8B-Instruct",
"base_model:finetune:meta-llama/Meta-Llama-3-8B-Instruct",
"license:llama3",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] |
text-generation
| 2024-06-05T02:52:09Z |
---
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
- trl
- sft
- generated_from_trainer
datasets:
- HuggingFaceH4/deita-10k-v0-sft
model-index:
- name: llama3-8b-instruct-wo-healthsearch_qa-iter-sft-step1
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# llama3-8b-instruct-wo-healthsearch_qa-iter-sft-step1
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the HuggingFaceH4/deita-10k-v0-sft dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4876
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.7301 | 0.94 | 4 | 0.7240 |
| 0.8143 | 1.88 | 8 | 0.5196 |
| 0.5734 | 2.82 | 12 | 0.4876 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2
|
tsavage68/UTI_L3_175steps_1e7rate_03beta_CSFTDPO
|
tsavage68
| 2024-06-05T03:04:15Z | 6 | 0 |
transformers
|
[
"transformers",
"safetensors",
"llama",
"text-generation",
"trl",
"dpo",
"generated_from_trainer",
"conversational",
"base_model:tsavage68/UTI_L3_1000steps_1e5rate_SFT",
"base_model:finetune:tsavage68/UTI_L3_1000steps_1e5rate_SFT",
"license:llama3",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] |
text-generation
| 2024-06-05T02:59:45Z |
---
license: llama3
base_model: tsavage68/UTI_L3_1000steps_1e5rate_SFT
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: UTI_L3_175steps_1e7rate_03beta_CSFTDPO
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# UTI_L3_175steps_1e7rate_03beta_CSFTDPO
This model is a fine-tuned version of [tsavage68/UTI_L3_1000steps_1e5rate_SFT](https://huggingface.co/tsavage68/UTI_L3_1000steps_1e5rate_SFT) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3086
- Rewards/chosen: 0.2238
- Rewards/rejected: -0.9996
- Rewards/accuracies: 0.9900
- Rewards/margins: 1.2234
- Logps/rejected: -66.5267
- Logps/chosen: -31.7329
- Logits/rejected: -1.3243
- Logits/chosen: -1.3093
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-07
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 175
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6945 | 0.3333 | 25 | 0.6909 | -0.0005 | -0.0056 | 0.4900 | 0.0051 | -63.2133 | -32.4808 | -1.3230 | -1.3079 |
| 0.6631 | 0.6667 | 50 | 0.6538 | 0.0144 | -0.0676 | 0.8500 | 0.0820 | -63.4201 | -32.4310 | -1.3232 | -1.3082 |
| 0.6008 | 1.0 | 75 | 0.5691 | 0.0482 | -0.2288 | 0.9600 | 0.2770 | -63.9573 | -32.3183 | -1.3233 | -1.3082 |
| 0.4499 | 1.3333 | 100 | 0.4399 | 0.1150 | -0.5411 | 0.9600 | 0.6561 | -64.9983 | -32.0957 | -1.3238 | -1.3088 |
| 0.3285 | 1.6667 | 125 | 0.3355 | 0.1971 | -0.8933 | 0.9900 | 1.0904 | -66.1723 | -31.8220 | -1.3241 | -1.3092 |
| 0.3053 | 2.0 | 150 | 0.3088 | 0.2246 | -1.0014 | 0.9900 | 1.2260 | -66.5327 | -31.7303 | -1.3242 | -1.3092 |
| 0.2456 | 2.3333 | 175 | 0.3086 | 0.2238 | -0.9996 | 0.9900 | 1.2234 | -66.5267 | -31.7329 | -1.3243 | -1.3093 |
### Framework versions
- Transformers 4.41.2
- Pytorch 2.0.0+cu117
- Datasets 2.19.2
- Tokenizers 0.19.1
|
NoteEB/custom-resnet18-model-EB
|
NoteEB
| 2024-06-05T03:03:12Z | 79 | 0 |
transformers
|
[
"transformers",
"safetensors",
"pytorch_model_hub_mixin",
"model_hub_mixin",
"endpoints_compatible",
"region:us"
] | null | 2024-06-05T02:59:12Z |
---
tags:
- pytorch_model_hub_mixin
- model_hub_mixin
---
This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
- Library: [More Information Needed]
- Docs: [More Information Needed]
|
leon625/TEST
|
leon625
| 2024-06-05T03:02:41Z | 0 | 0 | null |
[
"license:apache-2.0",
"region:us"
] | null | 2024-06-05T03:02:41Z |
---
license: apache-2.0
---
|
jackykjk/tcp2023
|
jackykjk
| 2024-06-05T03:02:28Z | 0 | 0 | null |
[
"license:apache-2.0",
"region:us"
] | null | 2024-06-05T03:02:28Z |
---
license: apache-2.0
---
|
PisitKMITL/custom-resnet18-model
|
PisitKMITL
| 2024-06-05T03:02:20Z | 80 | 0 |
transformers
|
[
"transformers",
"safetensors",
"pytorch_model_hub_mixin",
"model_hub_mixin",
"endpoints_compatible",
"region:us"
] | null | 2024-06-05T03:02:15Z |
---
tags:
- pytorch_model_hub_mixin
- model_hub_mixin
---
This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
- Library: [More Information Needed]
- Docs: [More Information Needed]
|
DuridMing/uuu_fine_tune_gpt2
|
DuridMing
| 2024-06-05T03:02:11Z | 0 | 0 | null |
[
"license:apache-2.0",
"region:us"
] | null | 2024-06-05T03:02:11Z |
---
license: apache-2.0
---
|
Orion-zhen/Llama3-Chinese-Chat-emoji
|
Orion-zhen
| 2024-06-05T03:01:45Z | 7 | 1 |
transformers
|
[
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"en",
"zh",
"dataset:shareAI/DPO-zh-en-emoji",
"license:llama3",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] |
text-generation
| 2024-06-03T08:34:35Z |
---
license: llama3
datasets:
- shareAI/DPO-zh-en-emoji
language:
- en
- zh
---
# Llama3-Chinese-Chat-emoji
在原模型shenzhi-wang/Llama3-70B-Chinese-Chat的基础上使用shareAI/DPO-zh-en-emoji进行QLoRA微调而来, 希望能重现原版llama3喜欢小表情的习惯
失败惹, 原模型emoji能力已经被抑制惹, DPO也调不出来惹(悲)
新模型指路[Orion-zhen/Llama3-70B-Orion-Chinese](https://huggingface.co/Orion-zhen/Llama3-70B-Orion-Chinese)👈
|
yehii/uuu_fine_tune_taipower
|
yehii
| 2024-06-05T03:01:38Z | 0 | 0 | null |
[
"license:apache-2.0",
"region:us"
] | null | 2024-06-05T03:01:38Z |
---
license: apache-2.0
---
|
DuridMing/tcp2024
|
DuridMing
| 2024-06-05T03:01:23Z | 0 | 0 | null |
[
"license:apache-2.0",
"region:us"
] | null | 2024-06-05T03:01:23Z |
---
license: apache-2.0
---
|
superdavidyeh/tcp2023
|
superdavidyeh
| 2024-06-05T03:01:11Z | 0 | 0 | null |
[
"license:apache-2.0",
"region:us"
] | null | 2024-06-05T03:01:11Z |
---
license: apache-2.0
---
|
Thanantikan/thannanthi-custom-resnet18-model
|
Thanantikan
| 2024-06-05T03:01:09Z | 79 | 0 |
transformers
|
[
"transformers",
"safetensors",
"pytorch_model_hub_mixin",
"model_hub_mixin",
"endpoints_compatible",
"region:us"
] | null | 2024-06-05T03:01:02Z |
---
tags:
- pytorch_model_hub_mixin
- model_hub_mixin
---
This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
- Library: [More Information Needed]
- Docs: [More Information Needed]
|
papatrick0226/uuu_fine_tune_gpt2
|
papatrick0226
| 2024-06-05T03:00:53Z | 0 | 0 | null |
[
"license:apache-2.0",
"region:us"
] | null | 2024-06-05T03:00:53Z |
---
license: apache-2.0
---
|
Timmy1281/tcp2023
|
Timmy1281
| 2024-06-05T03:00:45Z | 0 | 0 | null |
[
"license:apache-2.0",
"region:us"
] | null | 2024-06-05T03:00:45Z |
---
license: apache-2.0
---
|
papatrick0226/uuu_fine_tune_taipower
|
papatrick0226
| 2024-06-05T03:00:34Z | 0 | 0 | null |
[
"license:apache-2.0",
"region:us"
] | null | 2024-06-05T03:00:34Z |
---
license: apache-2.0
---
|
Hannanana/tcp2023
|
Hannanana
| 2024-06-05T03:00:18Z | 0 | 0 | null |
[
"license:apache-2.0",
"region:us"
] | null | 2024-06-05T03:00:18Z |
---
license: apache-2.0
---
|
andrewboy70900/tcp2023
|
andrewboy70900
| 2024-06-05T03:00:17Z | 0 | 0 | null |
[
"license:apache-2.0",
"region:us"
] | null | 2024-06-05T03:00:17Z |
---
license: apache-2.0
---
|
papatrick0226/tcp2023
|
papatrick0226
| 2024-06-05T03:00:12Z | 0 | 0 | null |
[
"license:apache-2.0",
"region:us"
] | null | 2024-06-05T03:00:12Z |
---
license: apache-2.0
---
|
ManasaV22/fine_tuned_10012023
|
ManasaV22
| 2024-06-05T02:59:22Z | 184 | 0 |
transformers
|
[
"transformers",
"safetensors",
"bert",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] |
text-classification
| 2024-06-05T02:58:57Z |
---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
- **Finetuned from model [optional]:** [More Information Needed]
### Model Sources [optional]
<!-- Provide the basic links for the model. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
### Direct Use
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
[More Information Needed]
### Downstream Use [optional]
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
[More Information Needed]
### Training Procedure
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
#### Preprocessing [optional]
[More Information Needed]
#### Training Hyperparameters
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
#### Speeds, Sizes, Times [optional]
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
[More Information Needed]
## Evaluation
<!-- This section describes the evaluation protocols and provides the results. -->
### Testing Data, Factors & Metrics
#### Testing Data
<!-- This should link to a Dataset Card if possible. -->
[More Information Needed]
#### Factors
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
[More Information Needed]
#### Metrics
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
[More Information Needed]
### Results
[More Information Needed]
#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
- **Cloud Provider:** [More Information Needed]
- **Compute Region:** [More Information Needed]
- **Carbon Emitted:** [More Information Needed]
## Technical Specifications [optional]
### Model Architecture and Objective
[More Information Needed]
### Compute Infrastructure
[More Information Needed]
#### Hardware
[More Information Needed]
#### Software
[More Information Needed]
## Citation [optional]
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
[More Information Needed]
## More Information [optional]
[More Information Needed]
## Model Card Authors [optional]
[More Information Needed]
## Model Card Contact
[More Information Needed]
|
billkintao/billkintao-resnet18-model
|
billkintao
| 2024-06-05T02:59:12Z | 79 | 0 |
transformers
|
[
"transformers",
"safetensors",
"pytorch_model_hub_mixin",
"model_hub_mixin",
"endpoints_compatible",
"region:us"
] | null | 2024-06-05T02:59:05Z |
---
tags:
- pytorch_model_hub_mixin
- model_hub_mixin
---
This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
- Library: [More Information Needed]
- Docs: [More Information Needed]
|
Airtan23/custom-resnet18-model
|
Airtan23
| 2024-06-05T02:58:23Z | 79 | 0 |
transformers
|
[
"transformers",
"safetensors",
"pytorch_model_hub_mixin",
"model_hub_mixin",
"endpoints_compatible",
"region:us"
] | null | 2024-06-05T02:58:19Z |
---
tags:
- pytorch_model_hub_mixin
- model_hub_mixin
---
This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
- Library: [More Information Needed]
- Docs: [More Information Needed]
|
LSHS/LSHS-Counselor-Bot
|
LSHS
| 2024-06-05T02:56:26Z | 0 | 0 | null |
[
"document-question-answering",
"arxiv:1910.09700",
"license:afl-3.0",
"region:us"
] |
document-question-answering
| 2024-06-05T02:53:21Z |
---
license: afl-3.0
pipeline_tag: document-question-answering
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
- **Finetuned from model [optional]:** [More Information Needed]
### Model Sources [optional]
<!-- Provide the basic links for the model. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
### Direct Use
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
[More Information Needed]
### Downstream Use [optional]
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
[More Information Needed]
### Training Procedure
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
#### Preprocessing [optional]
[More Information Needed]
#### Training Hyperparameters
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
#### Speeds, Sizes, Times [optional]
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
[More Information Needed]
## Evaluation
<!-- This section describes the evaluation protocols and provides the results. -->
### Testing Data, Factors & Metrics
#### Testing Data
<!-- This should link to a Dataset Card if possible. -->
[More Information Needed]
#### Factors
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
[More Information Needed]
#### Metrics
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
[More Information Needed]
### Results
[More Information Needed]
#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
- **Cloud Provider:** [More Information Needed]
- **Compute Region:** [More Information Needed]
- **Carbon Emitted:** [More Information Needed]
## Technical Specifications [optional]
### Model Architecture and Objective
[More Information Needed]
### Compute Infrastructure
[More Information Needed]
#### Hardware
[More Information Needed]
#### Software
[More Information Needed]
## Citation [optional]
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
[More Information Needed]
## More Information [optional]
[More Information Needed]
## Model Card Authors [optional]
[More Information Needed]
## Model Card Contact
[More Information Needed]
|
dudududukim/klue-bert-base-senti
|
dudududukim
| 2024-06-05T02:53:07Z | 108 | 0 |
transformers
|
[
"transformers",
"safetensors",
"bert",
"text-classification",
"ko",
"arxiv:2105.09680",
"license:cc-by-sa-4.0",
"endpoints_compatible",
"region:us"
] |
text-classification
| 2024-06-03T12:34:46Z |
---
license: cc-by-sa-4.0
language:
- ko
library_name: transformers
pipeline_tag: text-classification
---
# datasets
https://aihub.or.kr/aihubdata/data/view.do?currMenu=115&topMenu=100&aihubDataSe=realm&dataSetSn=86
# reference
@misc{park2021klue,
title={KLUE: Korean Language Understanding Evaluation},
author={Sungjoon Park and Jihyung Moon and Sungdong Kim and Won Ik Cho and Jiyoon Han and Jangwon Park and Chisung Song and Junseong Kim and Yongsook Song and Taehwan Oh and Joohong Lee and Juhyun Oh and Sungwon Lyu and Younghoon Jeong and Inkwon Lee and Sangwoo Seo and Dongjun Lee and Hyunwoo Kim and Myeonghwa Lee and Seongbo Jang and Seungwon Do and Sunkyoung Kim and Kyungtae Lim and Jongwon Lee and Kyumin Park and Jamin Shin and Seonghyun Kim and Lucy Park and Alice Oh and Jungwoo Ha and Kyunghyun Cho},
year={2021},
eprint={2105.09680},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
|
tsavage68/UTI_L3_1000steps_1e7rate_03beta_CSFTDPO
|
tsavage68
| 2024-06-05T02:47:55Z | 6 | 0 |
transformers
|
[
"transformers",
"safetensors",
"llama",
"text-generation",
"trl",
"dpo",
"generated_from_trainer",
"conversational",
"base_model:tsavage68/UTI_L3_1000steps_1e5rate_SFT",
"base_model:finetune:tsavage68/UTI_L3_1000steps_1e5rate_SFT",
"license:llama3",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] |
text-generation
| 2024-06-05T02:43:48Z |
---
license: llama3
base_model: tsavage68/UTI_L3_1000steps_1e5rate_SFT
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: UTI_L3_1000steps_1e7rate_03beta_CSFTDPO
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# UTI_L3_1000steps_1e7rate_03beta_CSFTDPO
This model is a fine-tuned version of [tsavage68/UTI_L3_1000steps_1e5rate_SFT](https://huggingface.co/tsavage68/UTI_L3_1000steps_1e5rate_SFT) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0290
- Rewards/chosen: 1.0999
- Rewards/rejected: -4.7721
- Rewards/accuracies: 0.9900
- Rewards/margins: 5.8720
- Logps/rejected: -79.1016
- Logps/chosen: -28.8126
- Logits/rejected: -1.3325
- Logits/chosen: -1.3147
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-07
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 1000
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6945 | 0.3333 | 25 | 0.6909 | -0.0005 | -0.0056 | 0.4900 | 0.0051 | -63.2133 | -32.4808 | -1.3230 | -1.3079 |
| 0.6631 | 0.6667 | 50 | 0.6538 | 0.0144 | -0.0676 | 0.8500 | 0.0820 | -63.4201 | -32.4310 | -1.3232 | -1.3082 |
| 0.6008 | 1.0 | 75 | 0.5691 | 0.0482 | -0.2288 | 0.9600 | 0.2770 | -63.9573 | -32.3183 | -1.3233 | -1.3082 |
| 0.4499 | 1.3333 | 100 | 0.4399 | 0.1150 | -0.5411 | 0.9600 | 0.6561 | -64.9983 | -32.0957 | -1.3238 | -1.3088 |
| 0.3287 | 1.6667 | 125 | 0.3220 | 0.2114 | -0.9535 | 0.9900 | 1.1649 | -66.3730 | -31.7744 | -1.3242 | -1.3092 |
| 0.2577 | 2.0 | 150 | 0.2461 | 0.3062 | -1.3005 | 0.9900 | 1.6067 | -67.5297 | -31.4582 | -1.3245 | -1.3095 |
| 0.1552 | 2.3333 | 175 | 0.1940 | 0.3877 | -1.6591 | 0.9900 | 2.0467 | -68.7248 | -31.1867 | -1.3252 | -1.3101 |
| 0.1392 | 2.6667 | 200 | 0.1565 | 0.4614 | -1.9315 | 0.9900 | 2.3929 | -69.6330 | -30.9411 | -1.3260 | -1.3109 |
| 0.1027 | 3.0 | 225 | 0.1264 | 0.5356 | -2.2660 | 0.9900 | 2.8016 | -70.7480 | -30.6936 | -1.3263 | -1.3111 |
| 0.1283 | 3.3333 | 250 | 0.1078 | 0.5929 | -2.5135 | 0.9900 | 3.1064 | -71.5729 | -30.5027 | -1.3272 | -1.3119 |
| 0.0723 | 3.6667 | 275 | 0.0898 | 0.6579 | -2.8100 | 0.9900 | 3.4679 | -72.5613 | -30.2859 | -1.3274 | -1.3119 |
| 0.083 | 4.0 | 300 | 0.0761 | 0.7117 | -3.0410 | 0.9900 | 3.7527 | -73.3313 | -30.1067 | -1.3280 | -1.3123 |
| 0.0276 | 4.3333 | 325 | 0.0660 | 0.7700 | -3.2845 | 0.9900 | 4.0545 | -74.1431 | -29.9124 | -1.3283 | -1.3123 |
| 0.0535 | 4.6667 | 350 | 0.0581 | 0.8180 | -3.4706 | 0.9900 | 4.2886 | -74.7634 | -29.7523 | -1.3292 | -1.3131 |
| 0.0598 | 5.0 | 375 | 0.0512 | 0.8706 | -3.6549 | 0.9900 | 4.5255 | -75.3777 | -29.5771 | -1.3296 | -1.3132 |
| 0.0485 | 5.3333 | 400 | 0.0461 | 0.9118 | -3.8192 | 0.9900 | 4.7310 | -75.9254 | -29.4398 | -1.3300 | -1.3134 |
| 0.0548 | 5.6667 | 425 | 0.0422 | 0.9462 | -4.0246 | 0.9900 | 4.9708 | -76.6100 | -29.3249 | -1.3303 | -1.3136 |
| 0.0311 | 6.0 | 450 | 0.0394 | 0.9768 | -4.1514 | 0.9900 | 5.1282 | -77.0326 | -29.2230 | -1.3306 | -1.3136 |
| 0.0142 | 6.3333 | 475 | 0.0371 | 0.9974 | -4.2644 | 0.9900 | 5.2618 | -77.4093 | -29.1544 | -1.3311 | -1.3140 |
| 0.0506 | 6.6667 | 500 | 0.0353 | 1.0183 | -4.3634 | 0.9900 | 5.3817 | -77.7395 | -29.0848 | -1.3313 | -1.3141 |
| 0.0193 | 7.0 | 525 | 0.0338 | 1.0391 | -4.4615 | 0.9900 | 5.5006 | -78.0662 | -29.0152 | -1.3316 | -1.3142 |
| 0.014 | 7.3333 | 550 | 0.0323 | 1.0562 | -4.5279 | 0.9900 | 5.5841 | -78.2877 | -28.9582 | -1.3317 | -1.3143 |
| 0.0329 | 7.6667 | 575 | 0.0317 | 1.0604 | -4.5932 | 0.9900 | 5.6536 | -78.5055 | -28.9443 | -1.3320 | -1.3146 |
| 0.0435 | 8.0 | 600 | 0.0311 | 1.0691 | -4.6423 | 0.9900 | 5.7114 | -78.6692 | -28.9154 | -1.3321 | -1.3146 |
| 0.044 | 8.3333 | 625 | 0.0305 | 1.0755 | -4.6661 | 0.9900 | 5.7416 | -78.7484 | -28.8939 | -1.3322 | -1.3146 |
| 0.0079 | 8.6667 | 650 | 0.0299 | 1.0865 | -4.7011 | 0.9900 | 5.7876 | -78.8650 | -28.8574 | -1.3324 | -1.3148 |
| 0.0155 | 9.0 | 675 | 0.0296 | 1.0888 | -4.7256 | 0.9900 | 5.8144 | -78.9466 | -28.8497 | -1.3324 | -1.3147 |
| 0.0255 | 9.3333 | 700 | 0.0293 | 1.0913 | -4.7424 | 0.9900 | 5.8337 | -79.0027 | -28.8413 | -1.3325 | -1.3148 |
| 0.0252 | 9.6667 | 725 | 0.0293 | 1.0950 | -4.7647 | 0.9900 | 5.8597 | -79.0770 | -28.8290 | -1.3325 | -1.3148 |
| 0.0132 | 10.0 | 750 | 0.0292 | 1.0940 | -4.7718 | 0.9900 | 5.8658 | -79.1006 | -28.8322 | -1.3325 | -1.3147 |
| 0.004 | 10.3333 | 775 | 0.0292 | 1.0976 | -4.7711 | 0.9900 | 5.8687 | -79.0984 | -28.8203 | -1.3326 | -1.3148 |
| 0.025 | 10.6667 | 800 | 0.0288 | 1.0976 | -4.7705 | 0.9900 | 5.8681 | -79.0965 | -28.8204 | -1.3325 | -1.3147 |
| 0.0312 | 11.0 | 825 | 0.0288 | 1.0969 | -4.7716 | 0.9900 | 5.8685 | -79.0999 | -28.8227 | -1.3326 | -1.3148 |
| 0.0076 | 11.3333 | 850 | 0.0288 | 1.0987 | -4.7743 | 0.9900 | 5.8729 | -79.1089 | -28.8168 | -1.3324 | -1.3147 |
| 0.0444 | 11.6667 | 875 | 0.0289 | 1.0998 | -4.7712 | 0.9900 | 5.8710 | -79.0988 | -28.8131 | -1.3325 | -1.3148 |
| 0.0113 | 12.0 | 900 | 0.0290 | 1.0998 | -4.7766 | 0.9900 | 5.8764 | -79.1167 | -28.8131 | -1.3326 | -1.3148 |
| 0.0272 | 12.3333 | 925 | 0.0289 | 1.1001 | -4.7736 | 0.9900 | 5.8736 | -79.1066 | -28.8121 | -1.3325 | -1.3147 |
| 0.0296 | 12.6667 | 950 | 0.0290 | 1.0999 | -4.7721 | 0.9900 | 5.8720 | -79.1016 | -28.8126 | -1.3325 | -1.3147 |
| 0.0533 | 13.0 | 975 | 0.0290 | 1.0999 | -4.7721 | 0.9900 | 5.8720 | -79.1016 | -28.8126 | -1.3325 | -1.3147 |
| 0.0168 | 13.3333 | 1000 | 0.0290 | 1.0999 | -4.7721 | 0.9900 | 5.8720 | -79.1016 | -28.8126 | -1.3325 | -1.3147 |
### Framework versions
- Transformers 4.41.2
- Pytorch 2.0.0+cu117
- Datasets 2.19.2
- Tokenizers 0.19.1
|
forrestrun/Llama3-8B-Chinese-Chat-Q4_K_M-GGUF
|
forrestrun
| 2024-06-05T02:47:48Z | 2 | 0 |
transformers
|
[
"transformers",
"gguf",
"llama-factory",
"orpo",
"llama-cpp",
"gguf-my-repo",
"text-generation",
"en",
"zh",
"base_model:shenzhi-wang/Llama3-8B-Chinese-Chat",
"base_model:quantized:shenzhi-wang/Llama3-8B-Chinese-Chat",
"license:llama3",
"endpoints_compatible",
"region:us",
"conversational"
] |
text-generation
| 2024-06-05T02:47:28Z |
---
language:
- en
- zh
license: llama3
library_name: transformers
tags:
- llama-factory
- orpo
- llama-cpp
- gguf-my-repo
base_model: shenzhi-wang/Llama3-8B-Chinese-Chat
pipeline_tag: text-generation
---
# forrestrun/Llama3-8B-Chinese-Chat-Q4_K_M-GGUF
This model was converted to GGUF format from [`shenzhi-wang/Llama3-8B-Chinese-Chat`](https://huggingface.co/shenzhi-wang/Llama3-8B-Chinese-Chat) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/shenzhi-wang/Llama3-8B-Chinese-Chat) for more details on the model.
## Use with llama.cpp
Install llama.cpp through brew (works on Mac and Linux)
```bash
brew install llama.cpp
```
Invoke the llama.cpp server or the CLI.
### CLI:
```bash
llama --hf-repo forrestrun/Llama3-8B-Chinese-Chat-Q4_K_M-GGUF --hf-file llama3-8b-chinese-chat-q4_k_m.gguf -p "The meaning to life and the universe is"
```
### Server:
```bash
llama-server --hf-repo forrestrun/Llama3-8B-Chinese-Chat-Q4_K_M-GGUF --hf-file llama3-8b-chinese-chat-q4_k_m.gguf -c 2048
```
Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.
Step 1: Clone llama.cpp from GitHub.
```
git clone https://github.com/ggerganov/llama.cpp
```
Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
```
cd llama.cpp && LLAMA_CURL=1 make
```
Step 3: Run inference through the main binary.
```
./main --hf-repo forrestrun/Llama3-8B-Chinese-Chat-Q4_K_M-GGUF --hf-file llama3-8b-chinese-chat-q4_k_m.gguf -p "The meaning to life and the universe is"
```
or
```
./server --hf-repo forrestrun/Llama3-8B-Chinese-Chat-Q4_K_M-GGUF --hf-file llama3-8b-chinese-chat-q4_k_m.gguf -c 2048
```
|
owner203/japanese-llama-2-7b-gguf
|
owner203
| 2024-06-05T02:30:01Z | 11 | 0 | null |
[
"gguf",
"ja",
"license:llama2",
"endpoints_compatible",
"region:us"
] | null | 2024-01-22T03:00:02Z |
---
license: llama2
language:
- ja
---
# Japanese-LLaMA-2-7B-GGUF
Japanese-LLaMA-2-7B-GGUFはJapanese-LLaMA-2-7Bの**GGUF形式**です。
モデルURL：https://huggingface.co/owner203/japanese-llama-2-7b
|
dahe827/mpnet-base-airlines-news-multi-label
|
dahe827
| 2024-06-05T02:28:17Z | 107 | 0 |
transformers
|
[
"transformers",
"tensorboard",
"safetensors",
"mpnet",
"text-classification",
"generated_from_trainer",
"base_model:microsoft/mpnet-base",
"base_model:finetune:microsoft/mpnet-base",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] |
text-classification
| 2024-05-27T15:48:14Z |
---
base_model: microsoft/mpnet-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: mpnet-base-airlines-news-multi-label
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mpnet-base-airlines-news-multi-label
This model is a fine-tuned version of [microsoft/mpnet-base](https://huggingface.co/microsoft/mpnet-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2601
- F1: 0.8921
- Roc Auc: 0.6253
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 7e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 65
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| No log | 1.0 | 57 | 0.3852 | 0.8161 | 0.5 |
| No log | 2.0 | 114 | 0.3612 | 0.8161 | 0.5 |
| No log | 3.0 | 171 | 0.3569 | 0.8161 | 0.5 |
| No log | 4.0 | 228 | 0.3515 | 0.8161 | 0.5 |
| No log | 5.0 | 285 | 0.3453 | 0.8161 | 0.5 |
| No log | 6.0 | 342 | 0.3403 | 0.8161 | 0.5 |
| No log | 7.0 | 399 | 0.3345 | 0.8161 | 0.5 |
| No log | 8.0 | 456 | 0.3292 | 0.8161 | 0.5 |
| 0.3585 | 9.0 | 513 | 0.3252 | 0.8161 | 0.5 |
| 0.3585 | 10.0 | 570 | 0.3175 | 0.8161 | 0.5 |
| 0.3585 | 11.0 | 627 | 0.3129 | 0.8161 | 0.5 |
| 0.3585 | 12.0 | 684 | 0.3076 | 0.8351 | 0.5029 |
| 0.3585 | 13.0 | 741 | 0.3024 | 0.8425 | 0.5109 |
| 0.3585 | 14.0 | 798 | 0.2995 | 0.8516 | 0.5163 |
| 0.3585 | 15.0 | 855 | 0.2953 | 0.8528 | 0.5221 |
| 0.3585 | 16.0 | 912 | 0.2904 | 0.8744 | 0.5426 |
| 0.3585 | 17.0 | 969 | 0.2875 | 0.8738 | 0.5451 |
| 0.2943 | 18.0 | 1026 | 0.2835 | 0.8833 | 0.5798 |
| 0.2943 | 19.0 | 1083 | 0.2811 | 0.8799 | 0.5710 |
| 0.2943 | 20.0 | 1140 | 0.2786 | 0.8815 | 0.5873 |
| 0.2943 | 21.0 | 1197 | 0.2761 | 0.8815 | 0.5873 |
| 0.2943 | 22.0 | 1254 | 0.2750 | 0.8838 | 0.5906 |
| 0.2943 | 23.0 | 1311 | 0.2705 | 0.8905 | 0.6194 |
| 0.2943 | 24.0 | 1368 | 0.2687 | 0.8911 | 0.6224 |
| 0.2943 | 25.0 | 1425 | 0.2674 | 0.8895 | 0.6165 |
| 0.2943 | 26.0 | 1482 | 0.2652 | 0.8911 | 0.6224 |
| 0.2666 | 27.0 | 1539 | 0.2642 | 0.8911 | 0.6224 |
| 0.2666 | 28.0 | 1596 | 0.2634 | 0.8903 | 0.6194 |
| 0.2666 | 29.0 | 1653 | 0.2612 | 0.8903 | 0.6194 |
| 0.2666 | 30.0 | 1710 | 0.2601 | 0.8921 | 0.6253 |
| 0.2666 | 31.0 | 1767 | 0.2583 | 0.8913 | 0.6328 |
| 0.2666 | 32.0 | 1824 | 0.2568 | 0.8864 | 0.6319 |
| 0.2666 | 33.0 | 1881 | 0.2563 | 0.8861 | 0.6319 |
| 0.2666 | 34.0 | 1938 | 0.2552 | 0.8869 | 0.6349 |
| 0.2666 | 35.0 | 1995 | 0.2544 | 0.8884 | 0.6378 |
| 0.2516 | 36.0 | 2052 | 0.2530 | 0.8875 | 0.6374 |
| 0.2516 | 37.0 | 2109 | 0.2523 | 0.8876 | 0.6374 |
| 0.2516 | 38.0 | 2166 | 0.2514 | 0.8889 | 0.6432 |
| 0.2516 | 39.0 | 2223 | 0.2504 | 0.8874 | 0.6453 |
| 0.2516 | 40.0 | 2280 | 0.2502 | 0.8892 | 0.6432 |
| 0.2516 | 41.0 | 2337 | 0.2495 | 0.8862 | 0.6419 |
| 0.2516 | 42.0 | 2394 | 0.2490 | 0.8867 | 0.6445 |
| 0.2516 | 43.0 | 2451 | 0.2491 | 0.8859 | 0.6365 |
| 0.2442 | 44.0 | 2508 | 0.2480 | 0.8906 | 0.6511 |
| 0.2442 | 45.0 | 2565 | 0.2476 | 0.8894 | 0.6457 |
| 0.2442 | 46.0 | 2622 | 0.2476 | 0.8888 | 0.6478 |
| 0.2442 | 47.0 | 2679 | 0.2474 | 0.8906 | 0.6511 |
| 0.2442 | 48.0 | 2736 | 0.2462 | 0.8890 | 0.6507 |
| 0.2442 | 49.0 | 2793 | 0.2461 | 0.8920 | 0.6545 |
| 0.2442 | 50.0 | 2850 | 0.2455 | 0.8894 | 0.6532 |
| 0.2442 | 51.0 | 2907 | 0.2457 | 0.8897 | 0.6507 |
| 0.2442 | 52.0 | 2964 | 0.2452 | 0.8894 | 0.6532 |
| 0.238 | 53.0 | 3021 | 0.2449 | 0.8903 | 0.6536 |
| 0.238 | 54.0 | 3078 | 0.2447 | 0.8894 | 0.6532 |
| 0.238 | 55.0 | 3135 | 0.2446 | 0.8894 | 0.6532 |
| 0.238 | 56.0 | 3192 | 0.2446 | 0.8904 | 0.6536 |
| 0.238 | 57.0 | 3249 | 0.2443 | 0.8894 | 0.6532 |
| 0.238 | 58.0 | 3306 | 0.2441 | 0.8894 | 0.6532 |
| 0.238 | 59.0 | 3363 | 0.2440 | 0.8911 | 0.6566 |
| 0.238 | 60.0 | 3420 | 0.2440 | 0.8911 | 0.6566 |
| 0.238 | 61.0 | 3477 | 0.2439 | 0.8903 | 0.6536 |
| 0.2353 | 62.0 | 3534 | 0.2437 | 0.8911 | 0.6566 |
| 0.2353 | 63.0 | 3591 | 0.2438 | 0.8911 | 0.6566 |
| 0.2353 | 64.0 | 3648 | 0.2437 | 0.8911 | 0.6566 |
| 0.2353 | 65.0 | 3705 | 0.2437 | 0.8911 | 0.6566 |
### Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
|
owner203/japanese-llama-2-7b
|
owner203
| 2024-06-05T02:24:15Z | 2 | 0 |
transformers
|
[
"transformers",
"pytorch",
"llama",
"text-generation",
"ja",
"license:llama2",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] |
text-generation
| 2024-01-22T01:45:06Z |
---
license: llama2
language:
- ja
---
# Japanese-LLaMA-2-7B
Japanese-LLaMA-2-7Bは**基盤モデル、フルモデル**です。
プロジェクトURL：https://github.com/leonunix/Japanese-LLaMA2-Alpaca
- 基盤モデル
- [Japanese-LLaMA-2-7B (フルモデル)](https://huggingface.co/owner203/japanese-llama-2-7b)
- [Japanese-LLaMA-2-LoRA-7B (LoRAモデル)](https://huggingface.co/owner203/japanese-llama-2-lora-7b)
|
0xfaskety/Qwen-Qwen1.5-7B-1717553595
|
0xfaskety
| 2024-06-05T02:19:48Z | 8 | 0 |
transformers
|
[
"transformers",
"safetensors",
"qwen2",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] |
text-generation
| 2024-06-05T02:13:18Z |
---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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|
shrenikb/Transferagg0
|
shrenikb
| 2024-06-05T02:18:23Z | 2 | 0 |
peft
|
[
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:shrenikb/sparsegpt75sparsitymodel",
"base_model:adapter:shrenikb/sparsegpt75sparsitymodel",
"region:us"
] | null | 2024-06-04T21:58:35Z |
---
library_name: peft
base_model: shrenikb/sparsegpt75sparsitymodel
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
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- **License:** [More Information Needed]
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### Model Sources [optional]
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## Bias, Risks, and Limitations
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[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
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[More Information Needed]
## Training Details
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[More Information Needed]
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#### Metrics
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[More Information Needed]
### Results
[More Information Needed]
#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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[More Information Needed]
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[More Information Needed]
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[More Information Needed]
## Model Card Contact
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### Framework versions
- PEFT 0.10.0
|
shrenikb/Transferagg1
|
shrenikb
| 2024-06-05T02:18:10Z | 2 | 0 |
peft
|
[
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:shrenikb/sparsegpt75sparsitymodel",
"base_model:adapter:shrenikb/sparsegpt75sparsitymodel",
"region:us"
] | null | 2024-06-04T21:58:38Z |
---
library_name: peft
base_model: shrenikb/sparsegpt75sparsitymodel
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
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<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
### Model Sources [optional]
<!-- Provide the basic links for the model. -->
- **Repository:** [More Information Needed]
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## Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
### Direct Use
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[More Information Needed]
### Downstream Use [optional]
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
[More Information Needed]
### Training Procedure
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
#### Preprocessing [optional]
[More Information Needed]
#### Training Hyperparameters
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#### Speeds, Sizes, Times [optional]
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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## Evaluation
<!-- This section describes the evaluation protocols and provides the results. -->
### Testing Data, Factors & Metrics
#### Testing Data
<!-- This should link to a Dataset Card if possible. -->
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
[More Information Needed]
#### Metrics
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
[More Information Needed]
### Results
[More Information Needed]
#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
- **Cloud Provider:** [More Information Needed]
- **Compute Region:** [More Information Needed]
- **Carbon Emitted:** [More Information Needed]
## Technical Specifications [optional]
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[More Information Needed]
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[More Information Needed]
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[More Information Needed]
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[More Information Needed]
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[More Information Needed]
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[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
[More Information Needed]
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### Framework versions
- PEFT 0.10.0
|
tsavage68/UTI_L3_1000steps_1e8rate_01beta_CSFTDPO
|
tsavage68
| 2024-06-05T02:17:16Z | 6 | 0 |
transformers
|
[
"transformers",
"safetensors",
"llama",
"text-generation",
"trl",
"dpo",
"generated_from_trainer",
"conversational",
"base_model:tsavage68/UTI_L3_1000steps_1e5rate_SFT",
"base_model:finetune:tsavage68/UTI_L3_1000steps_1e5rate_SFT",
"license:llama3",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] |
text-generation
| 2024-06-05T02:12:34Z |
---
license: llama3
base_model: tsavage68/UTI_L3_1000steps_1e5rate_SFT
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: UTI_L3_1000steps_1e8rate_01beta_CSFTDPO
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# UTI_L3_1000steps_1e8rate_01beta_CSFTDPO
This model is a fine-tuned version of [tsavage68/UTI_L3_1000steps_1e5rate_SFT](https://huggingface.co/tsavage68/UTI_L3_1000steps_1e5rate_SFT) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6922
- Rewards/chosen: -0.0001
- Rewards/rejected: -0.0021
- Rewards/accuracies: 0.5700
- Rewards/margins: 0.0020
- Logps/rejected: -63.2152
- Logps/chosen: -32.4800
- Logits/rejected: -1.3229
- Logits/chosen: -1.3078
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-08
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 1000
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6937 | 0.3333 | 25 | 0.6936 | -0.0003 | 0.0007 | 0.0500 | -0.0010 | -63.1876 | -32.4816 | -1.3228 | -1.3077 |
| 0.6934 | 0.6667 | 50 | 0.6924 | -0.0003 | -0.0019 | 0.5800 | 0.0016 | -63.2137 | -32.4817 | -1.3229 | -1.3078 |
| 0.6945 | 1.0 | 75 | 0.6927 | -0.0018 | -0.0026 | 0.4600 | 0.0008 | -63.2208 | -32.4966 | -1.3232 | -1.3080 |
| 0.6926 | 1.3333 | 100 | 0.6933 | -0.0002 | 0.0001 | 0.5 | -0.0003 | -63.1934 | -32.4807 | -1.3230 | -1.3079 |
| 0.6918 | 1.6667 | 125 | 0.6926 | -0.0001 | -0.0013 | 0.5200 | 0.0012 | -63.2078 | -32.4798 | -1.3229 | -1.3078 |
| 0.6922 | 2.0 | 150 | 0.6927 | -0.0004 | -0.0013 | 0.5 | 0.0010 | -63.2080 | -32.4826 | -1.3231 | -1.3080 |
| 0.6941 | 2.3333 | 175 | 0.6927 | -0.0003 | -0.0011 | 0.5200 | 0.0009 | -63.2060 | -32.4817 | -1.3229 | -1.3077 |
| 0.6926 | 2.6667 | 200 | 0.6934 | -0.0015 | -0.0010 | 0.4300 | -0.0005 | -63.2044 | -32.4940 | -1.3230 | -1.3079 |
| 0.6922 | 3.0 | 225 | 0.6928 | 0.0006 | -0.0002 | 0.5500 | 0.0008 | -63.1962 | -32.4728 | -1.3231 | -1.3079 |
| 0.6918 | 3.3333 | 250 | 0.6922 | 0.0011 | -0.0008 | 0.5700 | 0.0020 | -63.2029 | -32.4677 | -1.3230 | -1.3079 |
| 0.6926 | 3.6667 | 275 | 0.6926 | 0.0004 | -0.0008 | 0.4900 | 0.0011 | -63.2022 | -32.4752 | -1.3229 | -1.3078 |
| 0.6906 | 4.0 | 300 | 0.6923 | 0.0000 | -0.0017 | 0.4600 | 0.0017 | -63.2119 | -32.4789 | -1.3231 | -1.3079 |
| 0.6934 | 4.3333 | 325 | 0.6926 | -0.0006 | -0.0018 | 0.5 | 0.0012 | -63.2131 | -32.4852 | -1.3231 | -1.3079 |
| 0.6918 | 4.6667 | 350 | 0.6921 | 0.0014 | -0.0008 | 0.5200 | 0.0022 | -63.2022 | -32.4648 | -1.3231 | -1.3080 |
| 0.6918 | 5.0 | 375 | 0.6917 | -0.0002 | -0.0033 | 0.5600 | 0.0030 | -63.2273 | -32.4813 | -1.3230 | -1.3079 |
| 0.6922 | 5.3333 | 400 | 0.6930 | -0.0006 | -0.0009 | 0.4800 | 0.0003 | -63.2034 | -32.4851 | -1.3231 | -1.3080 |
| 0.693 | 5.6667 | 425 | 0.6923 | 0.0005 | -0.0013 | 0.5200 | 0.0018 | -63.2075 | -32.4743 | -1.3230 | -1.3080 |
| 0.6906 | 6.0 | 450 | 0.6916 | 0.0007 | -0.0024 | 0.5900 | 0.0031 | -63.2182 | -32.4716 | -1.3231 | -1.3080 |
| 0.6898 | 6.3333 | 475 | 0.6915 | 0.0002 | -0.0033 | 0.5700 | 0.0034 | -63.2273 | -32.4774 | -1.3228 | -1.3078 |
| 0.6922 | 6.6667 | 500 | 0.6925 | 0.0003 | -0.0012 | 0.5400 | 0.0014 | -63.2066 | -32.4765 | -1.3230 | -1.3079 |
| 0.6918 | 7.0 | 525 | 0.6915 | 0.0006 | -0.0027 | 0.4900 | 0.0033 | -63.2220 | -32.4735 | -1.3231 | -1.3079 |
| 0.6914 | 7.3333 | 550 | 0.6922 | 0.0005 | -0.0015 | 0.5300 | 0.0020 | -63.2102 | -32.4742 | -1.3229 | -1.3079 |
| 0.6906 | 7.6667 | 575 | 0.6919 | 0.0002 | -0.0024 | 0.5400 | 0.0026 | -63.2189 | -32.4772 | -1.3230 | -1.3079 |
| 0.691 | 8.0 | 600 | 0.6930 | -0.0006 | -0.0010 | 0.5400 | 0.0004 | -63.2047 | -32.4854 | -1.3229 | -1.3078 |
| 0.6922 | 8.3333 | 625 | 0.6918 | 0.0001 | -0.0027 | 0.5600 | 0.0028 | -63.2220 | -32.4781 | -1.3230 | -1.3079 |
| 0.6918 | 8.6667 | 650 | 0.6921 | 0.0012 | -0.0009 | 0.5200 | 0.0021 | -63.2039 | -32.4669 | -1.3230 | -1.3078 |
| 0.6922 | 9.0 | 675 | 0.6922 | 0.0012 | -0.0007 | 0.6100 | 0.0020 | -63.2019 | -32.4667 | -1.3230 | -1.3079 |
| 0.6934 | 9.3333 | 700 | 0.6920 | -0.0001 | -0.0025 | 0.5100 | 0.0024 | -63.2195 | -32.4799 | -1.3230 | -1.3079 |
| 0.6895 | 9.6667 | 725 | 0.6926 | 0.0005 | -0.0007 | 0.5 | 0.0012 | -63.2018 | -32.4743 | -1.3230 | -1.3080 |
| 0.6918 | 10.0 | 750 | 0.6919 | 0.0004 | -0.0022 | 0.5600 | 0.0025 | -63.2163 | -32.4752 | -1.3230 | -1.3078 |
| 0.6914 | 10.3333 | 775 | 0.6920 | -0.0000 | -0.0023 | 0.5300 | 0.0023 | -63.2175 | -32.4793 | -1.3229 | -1.3078 |
| 0.6934 | 10.6667 | 800 | 0.6920 | 0.0001 | -0.0022 | 0.5600 | 0.0023 | -63.2163 | -32.4776 | -1.3229 | -1.3078 |
| 0.6926 | 11.0 | 825 | 0.6922 | -0.0001 | -0.0021 | 0.5700 | 0.0020 | -63.2152 | -32.4800 | -1.3229 | -1.3078 |
| 0.6934 | 11.3333 | 850 | 0.6922 | -0.0001 | -0.0021 | 0.5700 | 0.0020 | -63.2152 | -32.4800 | -1.3229 | -1.3078 |
| 0.6914 | 11.6667 | 875 | 0.6922 | -0.0001 | -0.0021 | 0.5700 | 0.0020 | -63.2152 | -32.4800 | -1.3229 | -1.3078 |
| 0.6918 | 12.0 | 900 | 0.6922 | -0.0001 | -0.0021 | 0.5700 | 0.0020 | -63.2152 | -32.4800 | -1.3229 | -1.3078 |
| 0.6891 | 12.3333 | 925 | 0.6922 | -0.0001 | -0.0021 | 0.5700 | 0.0020 | -63.2152 | -32.4800 | -1.3229 | -1.3078 |
| 0.6918 | 12.6667 | 950 | 0.6922 | -0.0001 | -0.0021 | 0.5700 | 0.0020 | -63.2152 | -32.4800 | -1.3229 | -1.3078 |
| 0.691 | 13.0 | 975 | 0.6922 | -0.0001 | -0.0021 | 0.5700 | 0.0020 | -63.2152 | -32.4800 | -1.3229 | -1.3078 |
| 0.6902 | 13.3333 | 1000 | 0.6922 | -0.0001 | -0.0021 | 0.5700 | 0.0020 | -63.2152 | -32.4800 | -1.3229 | -1.3078 |
### Framework versions
- Transformers 4.41.2
- Pytorch 2.0.0+cu117
- Datasets 2.19.2
- Tokenizers 0.19.1
|
coderbojack/google-gemma-2b-1717553223
|
coderbojack
| 2024-06-05T02:16:53Z | 144 | 0 |
transformers
|
[
"transformers",
"safetensors",
"gemma",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] |
text-generation
| 2024-06-05T02:07:05Z |
---
library_name: transformers
tags: []
---
# Model Card for Model ID
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|
shrenikb/Transferagg3
|
shrenikb
| 2024-06-05T02:16:18Z | 2 | 0 |
peft
|
[
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:shrenikb/sparsegpt75sparsitymodel",
"base_model:adapter:shrenikb/sparsegpt75sparsitymodel",
"region:us"
] | null | 2024-06-04T21:58:42Z |
---
library_name: peft
base_model: shrenikb/sparsegpt75sparsitymodel
---
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### Framework versions
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|
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