|
--- |
|
license: apache-2.0 |
|
base_model: Minbyul/mistral-7b-wo-medication_qa-sft |
|
tags: |
|
- alignment-handbook |
|
- trl |
|
- dpo |
|
- generated_from_trainer |
|
- trl |
|
- dpo |
|
- generated_from_trainer |
|
datasets: |
|
- HuggingFaceH4/ultrafeedback_binarized |
|
model-index: |
|
- name: mistral-7b-dpo-full-sft-wo-medication_qa |
|
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-dpo-full-sft-wo-medication_qa |
|
|
|
This model is a fine-tuned version of [Minbyul/mistral-7b-wo-medication_qa-sft](https://huggingface.co/Minbyul/mistral-7b-wo-medication_qa-sft) on the HuggingFaceH4/ultrafeedback_binarized dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.0756 |
|
- Rewards/chosen: -3.7115 |
|
- Rewards/rejected: -11.1989 |
|
- Rewards/accuracies: 0.9531 |
|
- Rewards/margins: 7.4875 |
|
- Logps/rejected: -1662.8185 |
|
- Logps/chosen: -803.2770 |
|
- Logits/rejected: -2.3910 |
|
- Logits/chosen: -2.5860 |
|
|
|
## 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-07 |
|
- train_batch_size: 8 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- distributed_type: multi-GPU |
|
- num_devices: 4 |
|
- gradient_accumulation_steps: 2 |
|
- total_train_batch_size: 64 |
|
- total_eval_batch_size: 32 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: cosine |
|
- lr_scheduler_warmup_ratio: 0.1 |
|
- num_epochs: 1 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Logits/chosen | Logits/rejected | Logps/chosen | Logps/rejected | Validation Loss | Rewards/accuracies | Rewards/chosen | Rewards/margins | Rewards/rejected | |
|
|:-------------:|:-----:|:----:|:-------------:|:---------------:|:------------:|:--------------:|:---------------:|:------------------:|:--------------:|:---------------:|:----------------:| |
|
| 0.2799 | 0.31 | 100 | -3.0348 | -3.0868 | -584.1479 | -794.0103 | 0.5261 | 0.75 | -1.5202 | 0.9907 | -2.5108 | |
|
| 0.154 | 0.62 | 200 | -2.6948 | -2.5547 | -742.1359 | -1446.8754 | 0.0923 | 0.9375 | -3.1001 | 5.9394 | -9.0395 | |
|
| 0.0948 | 0.92 | 300 | -2.5877 | -2.3930 | -803.1033 | -1661.4266 | 0.0753 | 0.9531 | -3.7097 | 7.4753 | -11.1850 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.39.0.dev0 |
|
- Pytorch 2.1.2 |
|
- Datasets 2.14.6 |
|
- Tokenizers 0.15.2 |
|
|