|
--- |
|
license: llama3.1 |
|
library_name: peft |
|
tags: |
|
- trl |
|
- dpo |
|
- generated_from_trainer |
|
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct |
|
model-index: |
|
- name: llama3.1_8b_dpo_bwgenerator_test2 |
|
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. --> |
|
|
|
# llama3.1_8b_dpo_bwgenerator_test2 |
|
|
|
This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.0977 |
|
- Rewards/chosen: -12.6599 |
|
- Rewards/rejected: -40.7969 |
|
- Rewards/accuracies: 0.9925 |
|
- Rewards/margins: 28.1371 |
|
- Logps/rejected: -518.0425 |
|
- Logps/chosen: -211.2417 |
|
- Logits/rejected: -1.2740 |
|
- Logits/chosen: -1.8549 |
|
|
|
## 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: 5e-05 |
|
- train_batch_size: 4 |
|
- eval_batch_size: 4 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 1 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | |
|
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
|
| 0.065 | 0.2396 | 1000 | 0.1978 | -24.9705 | -63.8717 | 0.9881 | 38.9011 | -748.7902 | -334.3486 | -1.2031 | -1.8039 | |
|
| 0.0803 | 0.4793 | 2000 | 0.1339 | -16.1506 | -46.8097 | 0.9925 | 30.6591 | -578.1700 | -246.1489 | -1.2214 | -1.8149 | |
|
| 0.0588 | 0.7189 | 3000 | 0.1012 | -12.8597 | -41.3756 | 0.9925 | 28.5159 | -523.8289 | -213.2401 | -1.2775 | -1.8541 | |
|
| 0.0422 | 0.9585 | 4000 | 0.0977 | -12.6599 | -40.7969 | 0.9925 | 28.1371 | -518.0425 | -211.2417 | -1.2740 | -1.8549 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.10.0 |
|
- Transformers 4.44.0 |
|
- Pytorch 2.3.0+cu121 |
|
- Datasets 2.14.7 |
|
- Tokenizers 0.19.1 |
