|
--- |
|
license: llama3 |
|
base_model: meta-llama/Meta-Llama-3-8B-Instruct |
|
tags: |
|
- trl |
|
- dpo |
|
- generated_from_trainer |
|
model-index: |
|
- name: MedQA_L3_250steps_1e6rate_05beat_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. --> |
|
|
|
# MedQA_L3_250steps_1e6rate_05beat_CSFTDPO |
|
|
|
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 an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.5035 |
|
- Rewards/chosen: -0.9245 |
|
- Rewards/rejected: -2.5465 |
|
- Rewards/accuracies: 0.7626 |
|
- Rewards/margins: 1.6220 |
|
- Logps/rejected: -26.4095 |
|
- Logps/chosen: -20.0716 |
|
- Logits/rejected: -0.9727 |
|
- Logits/chosen: -0.9715 |
|
|
|
## 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: 250 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | |
|
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
|
| 0.7075 | 0.0489 | 50 | 0.6367 | 0.2363 | 0.0705 | 0.6571 | 0.1658 | -21.1755 | -17.7501 | -0.9379 | -0.9373 | |
|
| 0.6451 | 0.0977 | 100 | 0.6114 | -0.8886 | -1.7629 | 0.6923 | 0.8743 | -24.8423 | -19.9998 | -0.9999 | -0.9992 | |
|
| 0.7372 | 0.1466 | 150 | 0.5770 | -1.9159 | -3.2984 | 0.7253 | 1.3825 | -27.9133 | -22.0544 | -0.9880 | -0.9871 | |
|
| 0.4401 | 0.1954 | 200 | 0.5109 | -0.9476 | -2.5465 | 0.7516 | 1.5989 | -26.4095 | -20.1178 | -0.9750 | -0.9738 | |
|
| 0.6774 | 0.2443 | 250 | 0.5035 | -0.9245 | -2.5465 | 0.7626 | 1.6220 | -26.4095 | -20.0716 | -0.9727 | -0.9715 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.41.0 |
|
- Pytorch 2.0.0+cu117 |
|
- Datasets 2.19.1 |
|
- Tokenizers 0.19.1 |
|
|
