|
--- |
|
license: apache-2.0 |
|
library_name: peft |
|
tags: |
|
- trl |
|
- dpo |
|
- generated_from_trainer |
|
base_model: mistralai/Mistral-7B-v0.1 |
|
model-index: |
|
- name: zephyr-7b |
|
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. --> |
|
|
|
# zephyr-7b |
|
|
|
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.5769 |
|
- Rewards/chosen: -0.6646 |
|
- Rewards/rejected: -1.1353 |
|
- Rewards/accuracies: 0.3711 |
|
- Rewards/margins: 0.4707 |
|
- Logps/rejected: -190.7267 |
|
- Logps/chosen: -130.3719 |
|
- Logits/rejected: 1.8500 |
|
- Logits/chosen: 1.7576 |
|
- Use Label: 6517.1875 |
|
- Pred Label: 782.8125 |
|
|
|
## 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-06 |
|
- train_batch_size: 4 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- distributed_type: multi-GPU |
|
- num_devices: 8 |
|
- gradient_accumulation_steps: 4 |
|
- total_train_batch_size: 128 |
|
- total_eval_batch_size: 64 |
|
- 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 | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | Use Label | Pred Label | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:---------:|:----------:| |
|
| 0.6531 | 0.21 | 100 | 0.6528 | -0.1643 | -0.2945 | 0.3633 | 0.1303 | -106.6470 | -80.3385 | -1.7198 | -1.7354 | 1725.3125 | 6.6875 | |
|
| 0.6041 | 0.42 | 200 | 0.5936 | -0.7144 | -1.1047 | 0.3516 | 0.3903 | -187.6596 | -135.3474 | 0.9784 | 0.8864 | 3420.5938 | 167.4062 | |
|
| 0.5763 | 0.63 | 300 | 0.5773 | -0.7930 | -1.2317 | 0.3516 | 0.4387 | -200.3615 | -143.2137 | 1.7526 | 1.6599 | 4991.2812 | 452.7188 | |
|
| 0.5836 | 0.84 | 400 | 0.5769 | -0.6646 | -1.1353 | 0.3711 | 0.4707 | -190.7267 | -130.3719 | 1.8500 | 1.7576 | 6517.1875 | 782.8125 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.7.1 |
|
- Transformers 4.38.2 |
|
- Pytorch 2.1.1+cu121 |
|
- Datasets 2.14.6 |
|
- Tokenizers 0.15.2 |
