|
--- |
|
tags: |
|
- trl |
|
- dpo |
|
- generated_from_trainer |
|
model-index: |
|
- name: tinyllama-chat-mine-dpo |
|
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. --> |
|
|
|
# tinyllama-chat-mine-dpo |
|
|
|
This model was trained from scratch on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.6240 |
|
- Rewards/chosen: -0.7007 |
|
- Rewards/rejected: -0.9684 |
|
- Rewards/accuracies: 0.6825 |
|
- Rewards/margins: 0.2677 |
|
- Logps/rejected: -395.3808 |
|
- Logps/chosen: -412.6868 |
|
- Logits/rejected: -2.7107 |
|
- Logits/chosen: -2.7399 |
|
|
|
## 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: 4 |
|
- gradient_accumulation_steps: 4 |
|
- total_train_batch_size: 128 |
|
- total_eval_batch_size: 32 |
|
- 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 | |
|
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
|
| 0.6685 | 0.2093 | 100 | 0.6694 | -0.1299 | -0.1943 | 0.6528 | 0.0644 | -317.9682 | -355.6027 | -2.9255 | -2.9507 | |
|
| 0.642 | 0.4186 | 200 | 0.6407 | -0.4273 | -0.6175 | 0.6726 | 0.1902 | -360.2873 | -385.3470 | -2.7926 | -2.8208 | |
|
| 0.6285 | 0.6279 | 300 | 0.6331 | -0.4723 | -0.6951 | 0.6647 | 0.2228 | -368.0482 | -389.8438 | -2.7731 | -2.8012 | |
|
| 0.6222 | 0.8373 | 400 | 0.6240 | -0.7007 | -0.9684 | 0.6825 | 0.2677 | -395.3808 | -412.6868 | -2.7107 | -2.7399 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.43.3 |
|
- Pytorch 2.1.2 |
|
- Datasets 2.20.0 |
|
- Tokenizers 0.19.1 |
|
|
