|
|
--- |
|
|
license: apache-2.0 |
|
|
library_name: peft |
|
|
tags: |
|
|
- trl |
|
|
- dpo |
|
|
- generated_from_trainer |
|
|
base_model: mistralai/Mistral-7B-Instruct-v0.3 |
|
|
model-index: |
|
|
- name: Mistral-7B-Instruct-v0.3-dpo-lora_lr1e-5_5ep |
|
|
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. --> |
|
|
|
|
|
# Mistral-7B-Instruct-v0.3-dpo-lora_lr1e-5_5ep |
|
|
|
|
|
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) on an unknown dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 0.2423 |
|
|
- Rewards/chosen: -0.5640 |
|
|
- Rewards/rejected: -4.3641 |
|
|
- Rewards/accuracies: 0.8557 |
|
|
- Rewards/margins: 3.8002 |
|
|
- Logps/rejected: -417.8773 |
|
|
- Logps/chosen: -434.6749 |
|
|
- Logits/rejected: 0.0188 |
|
|
- Logits/chosen: 0.1716 |
|
|
|
|
|
## 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: 16 |
|
|
- eval_batch_size: 16 |
|
|
- seed: 42 |
|
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
|
- lr_scheduler_type: cosine |
|
|
- lr_scheduler_warmup_ratio: 0.05 |
|
|
- num_epochs: 5 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | |
|
|
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
|
|
| 0.4274 | 1.0 | 103 | 0.3324 | 0.2097 | -1.9397 | 0.7932 | 2.1493 | -393.6328 | -426.9386 | -0.3230 | -0.0880 | |
|
|
| 0.1309 | 2.0 | 206 | 0.2679 | 0.0296 | -2.9700 | 0.8482 | 2.9997 | -403.9364 | -428.7391 | -0.1288 | 0.0588 | |
|
|
| 0.0376 | 3.0 | 309 | 0.2491 | -0.4817 | -4.1509 | 0.8452 | 3.6692 | -415.7445 | -433.8520 | -0.0034 | 0.1539 | |
|
|
| 0.0158 | 4.0 | 412 | 0.2450 | -0.5678 | -4.3787 | 0.8557 | 3.8110 | -418.0231 | -434.7127 | 0.0183 | 0.1715 | |
|
|
| 0.0129 | 5.0 | 515 | 0.2423 | -0.5640 | -4.3641 | 0.8557 | 3.8002 | -417.8773 | -434.6749 | 0.0188 | 0.1716 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- PEFT 0.11.1 |
|
|
- Transformers 4.41.1 |
|
|
- Pytorch 2.3.0+cu121 |
|
|
- Datasets 2.19.1 |
|
|
- Tokenizers 0.19.1 |
