|
|
---
|
|
|
library_name: transformers
|
|
|
license: other
|
|
|
base_model: Qwen/Qwen2.5-0.5B-Instruct
|
|
|
tags:
|
|
|
- llama-factory
|
|
|
- full
|
|
|
- generated_from_trainer
|
|
|
language:
|
|
|
- zho
|
|
|
- eng
|
|
|
- fra
|
|
|
- spa
|
|
|
- por
|
|
|
- deu
|
|
|
- ita
|
|
|
- rus
|
|
|
- jpn
|
|
|
- kor
|
|
|
- vie
|
|
|
- tha
|
|
|
- ara
|
|
|
model-index:
|
|
|
- name: reranker_continuous_train
|
|
|
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. -->
|
|
|
|
|
|
# reranker_continuous_train
|
|
|
|
|
|
This model is a fine-tuned version of [Qwen/Qwen2.5-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct) on the reranker_continuous_train dataset.
|
|
|
It achieves the following results on the evaluation set:
|
|
|
- Loss: 0.3195
|
|
|
|
|
|
## 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-05
|
|
|
- train_batch_size: 1
|
|
|
- eval_batch_size: 1
|
|
|
- seed: 42
|
|
|
- distributed_type: multi-GPU
|
|
|
- num_devices: 8
|
|
|
- total_train_batch_size: 8
|
|
|
- total_eval_batch_size: 8
|
|
|
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
|
|
- lr_scheduler_type: cosine
|
|
|
- lr_scheduler_warmup_ratio: 0.01
|
|
|
- num_epochs: 1.0
|
|
|
|
|
|
### Training results
|
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss |
|
|
|
|:-------------:|:-----:|:-----:|:---------------:|
|
|
|
| 0.4242 | 0.1 | 2156 | 0.3844 |
|
|
|
| 0.236 | 0.2 | 4312 | 0.3643 |
|
|
|
| 0.6602 | 0.3 | 6468 | 0.3521 |
|
|
|
| 0.3464 | 0.4 | 8624 | 0.3472 |
|
|
|
| 0.3598 | 0.5 | 10780 | 0.3412 |
|
|
|
| 0.3377 | 0.6 | 12936 | 0.3341 |
|
|
|
| 0.4547 | 0.7 | 15092 | 0.3258 |
|
|
|
| 0.2282 | 0.8 | 17248 | 0.3228 |
|
|
|
| 0.2692 | 0.9 | 19404 | 0.3195 |
|
|
|
| 0.2059 | 1.0 | 21560 | 0.3195 |
|
|
|
|
|
|
|
|
|
### Framework versions
|
|
|
|
|
|
- Transformers 4.46.1
|
|
|
- Pytorch 2.4.0+cu121
|
|
|
- Datasets 3.1.0
|
|
|
- Tokenizers 0.20.3
|
|
|
|
