|
--- |
|
tags: |
|
- trl |
|
- dpo |
|
- generated_from_trainer |
|
model-index: |
|
- name: zephyr-7b-dpo-full |
|
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-dpo-full |
|
|
|
This model was trained from scratch on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.6931 |
|
- Rewards/chosen: -8.4881 |
|
- Rewards/rejected: -8.4881 |
|
- Rewards/accuracies: 0.0 |
|
- Rewards/margins: 0.0 |
|
- Logps/rejected: -164.0651 |
|
- Logps/chosen: -164.0651 |
|
- Logits/rejected: -3.2224 |
|
- Logits/chosen: -3.2224 |
|
|
|
## 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: 8 |
|
- gradient_accumulation_steps: 2 |
|
- 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 | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
|
| 0.7723 | 0.29 | 100 | 0.6931 | -2.0247 | -2.0247 | 0.0 | 0.0 | -157.6017 | -157.6017 | -3.1472 | -3.1472 | |
|
| 0.7717 | 0.57 | 200 | 0.6931 | -12.0830 | -12.0830 | 0.0 | 0.0 | -167.6601 | -167.6601 | -3.1635 | -3.1635 | |
|
| 0.782 | 0.86 | 300 | 0.6931 | -8.4881 | -8.4881 | 0.0 | 0.0 | -164.0651 | -164.0651 | -3.2224 | -3.2224 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.38.2 |
|
- Pytorch 2.1.2+cu118 |
|
- Datasets 2.16.1 |
|
- Tokenizers 0.15.2 |
|
|
