|
--- |
|
tags: |
|
- trl |
|
- dpo |
|
- generated_from_trainer |
|
model-index: |
|
- name: zephyr-7b-dpo-full-accumulation4 |
|
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-accumulation4 |
|
|
|
This model was trained from scratch on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.5042 |
|
- Rewards/chosen: -1.0384 |
|
- Rewards/rejected: -2.0520 |
|
- Rewards/accuracies: 0.7773 |
|
- Rewards/margins: 1.0136 |
|
- Logps/rejected: -465.5701 |
|
- Logps/chosen: -363.5876 |
|
- Logits/rejected: 3.4727 |
|
- Logits/chosen: 2.9519 |
|
|
|
## 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: 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 | |
|
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
|
| 0.59 | 0.2093 | 100 | 0.5946 | -0.2826 | -0.6651 | 0.7266 | 0.3825 | -326.8777 | -288.0025 | -2.2764 | -2.3187 | |
|
| 0.5622 | 0.4186 | 200 | 0.5490 | -0.5914 | -1.2367 | 0.7578 | 0.6452 | -384.0357 | -318.8896 | -1.6885 | -1.7635 | |
|
| 0.5069 | 0.6279 | 300 | 0.5186 | -0.9189 | -1.8568 | 0.7773 | 0.9379 | -446.0468 | -351.6352 | 3.7286 | 3.1924 | |
|
| 0.5183 | 0.8373 | 400 | 0.5042 | -1.0384 | -2.0520 | 0.7773 | 1.0136 | -465.5701 | -363.5876 | 3.4727 | 2.9519 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.40.0 |
|
- Pytorch 2.1.2+cu121 |
|
- Datasets 2.19.0 |
|
- Tokenizers 0.19.1 |
|
|
