|
--- |
|
license: apache-2.0 |
|
library_name: peft |
|
tags: |
|
- alignment-handbook |
|
- trl |
|
- dpo |
|
- generated_from_trainer |
|
- trl |
|
- dpo |
|
- generated_from_trainer |
|
base_model: mistralai/Mistral-7B-v0.1 |
|
datasets: |
|
- HuggingFaceH4/ultrafeedback_binarized |
|
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 [alignment-handbook/zephyr-7b-sft-qlora](https://huggingface.co/alignment-handbook/zephyr-7b-sft-qlora) on the HuggingFaceH4/ultrafeedback_binarized dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.6171 |
|
- Rewards/chosen: -0.4648 |
|
- Rewards/rejected: -0.8388 |
|
- Rewards/accuracies: 0.3711 |
|
- Rewards/margins: 0.3740 |
|
- Logps/rejected: -161.0705 |
|
- Logps/chosen: -110.3948 |
|
- Logits/rejected: 1.0411 |
|
- Logits/chosen: 0.9868 |
|
- Use Label: 0.0 |
|
- Pred Label: 0.0 |
|
|
|
## 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 | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:---------:|:----------:| |
|
| 0.6553 | 0.21 | 100 | 0.6557 | -0.1267 | -0.2685 | 0.3633 | 0.1419 | -104.0477 | -76.5787 | -2.0726 | -2.0833 | 0.0 | 0.0 | |
|
| 0.6446 | 0.42 | 200 | 0.6343 | -0.2873 | -0.5376 | 0.3828 | 0.2503 | -130.9503 | -92.6377 | -0.6864 | -0.7124 | 0.0 | 0.0 | |
|
| 0.6273 | 0.63 | 300 | 0.6204 | -0.4623 | -0.7994 | 0.3672 | 0.3371 | -157.1332 | -110.1469 | 0.6726 | 0.6280 | 0.0 | 0.0 | |
|
| 0.6165 | 0.84 | 400 | 0.6182 | -0.4457 | -0.8122 | 0.3672 | 0.3666 | -158.4149 | -108.4784 | 0.9580 | 0.9035 | 0.0 | 0.0 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.7.1 |
|
- Transformers 4.38.2 |
|
- Pytorch 2.1.1+cu121 |
|
- Datasets 2.14.6 |
|
- Tokenizers 0.15.2 |
