|
--- |
|
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 an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.8003 |
|
- Rewards/chosen: -1.8897 |
|
- Rewards/rejected: -2.0004 |
|
- Rewards/accuracies: 0.5273 |
|
- Rewards/margins: 0.1107 |
|
- Logps/rejected: -718.4238 |
|
- Logps/chosen: -579.4417 |
|
- Logits/rejected: -5.6556 |
|
- Logits/chosen: -5.3947 |
|
|
|
## 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: 1e-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 | |
|
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
|
| 0.3413 | 0.2558 | 100 | 0.7230 | -0.5409 | -0.5757 | 0.5156 | 0.0348 | -575.9554 | -444.5646 | -5.0451 | -4.8217 | |
|
| 0.2653 | 0.5115 | 200 | 0.7765 | -1.4996 | -1.6149 | 0.5430 | 0.1153 | -679.8810 | -540.4390 | -5.5042 | -5.2262 | |
|
| 0.2424 | 0.7673 | 300 | 0.8003 | -1.8897 | -2.0004 | 0.5273 | 0.1107 | -718.4238 | -579.4417 | -5.6556 | -5.3947 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.40.2 |
|
- Pytorch 2.1.2+cu118 |
|
- Datasets 2.19.1 |
|
- Tokenizers 0.19.1 |
|
|
