|
|
--- |
|
|
license: mit |
|
|
base_model: HuggingFaceH4/zephyr-7b-beta |
|
|
tags: |
|
|
- trl |
|
|
- sft |
|
|
- generated_from_trainer |
|
|
model-index: |
|
|
- name: results |
|
|
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. --> |
|
|
|
|
|
# results |
|
|
|
|
|
This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) on the None dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 0.4427 |
|
|
|
|
|
## 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: 0.00025 |
|
|
- train_batch_size: 4 |
|
|
- eval_batch_size: 8 |
|
|
- seed: 42 |
|
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
|
- lr_scheduler_type: constant |
|
|
- lr_scheduler_warmup_ratio: 0.03 |
|
|
- num_epochs: 5 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|
|:-------------:|:-----:|:----:|:---------------:| |
|
|
| 0.6943 | 0.5 | 50 | 0.6478 | |
|
|
| 0.5485 | 1.0 | 100 | 0.5314 | |
|
|
| 0.4163 | 1.5 | 150 | 0.5019 | |
|
|
| 0.3924 | 2.0 | 200 | 0.4376 | |
|
|
| 0.3311 | 2.5 | 250 | 0.4994 | |
|
|
| 0.3167 | 3.0 | 300 | 0.4327 | |
|
|
| 0.2694 | 3.5 | 350 | 0.4408 | |
|
|
| 0.2475 | 4.0 | 400 | 0.4265 | |
|
|
| 0.2271 | 4.5 | 450 | 0.4136 | |
|
|
| 0.2442 | 5.0 | 500 | 0.4427 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.35.2 |
|
|
- Pytorch 2.1.0+cu121 |
|
|
- Datasets 2.16.1 |
|
|
- Tokenizers 0.15.0 |
|
|
|
