|
--- |
|
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: 6.9230 |
|
- Rewards/chosen: -4.5175 |
|
- Rewards/rejected: 0.4288 |
|
- Rewards/accuracies: 0.3164 |
|
- Rewards/margins: -4.9464 |
|
- Logps/rejected: -517.5300 |
|
- Logps/chosen: -399.5095 |
|
- Logits/rejected: -4.8908 |
|
- Logits/chosen: -4.6604 |
|
|
|
## 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 | |
|
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
|
| 0.5909 | 0.2635 | 100 | 6.6534 | -3.0090 | 2.8904 | 0.2773 | -5.8994 | -512.6068 | -396.4924 | -4.8508 | -4.6121 | |
|
| 0.7239 | 0.5270 | 200 | 8.0720 | -2.8191 | 3.5065 | 0.2734 | -6.3256 | -511.3747 | -396.1127 | -4.9896 | -4.7715 | |
|
| 0.5556 | 0.7905 | 300 | 6.9230 | -4.5175 | 0.4288 | 0.3164 | -4.9464 | -517.5300 | -399.5095 | -4.8908 | -4.6604 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.41.1 |
|
- Pytorch 2.1.2+cu118 |
|
- Datasets 2.16.1 |
|
- Tokenizers 0.19.1 |
|
|
