|
|
--- |
|
|
library_name: transformers |
|
|
license: llama3.2 |
|
|
base_model: tanliboy/llama-3.2-3b-sft |
|
|
tags: |
|
|
- alignment-handbook |
|
|
- trl |
|
|
- dpo |
|
|
- generated_from_trainer |
|
|
- trl |
|
|
- dpo |
|
|
- alignment-handbook |
|
|
- generated_from_trainer |
|
|
datasets: |
|
|
- HuggingFaceH4/orca_dpo_pairs |
|
|
- HuggingFaceH4/ultrafeedback_binarized |
|
|
model-index: |
|
|
- name: llama-3.2-3b-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. --> |
|
|
|
|
|
# llama-3.2-3b-dpo |
|
|
|
|
|
This model is a fine-tuned version of [tanliboy/llama-3.2-3b-sft](https://huggingface.co/tanliboy/llama-3.2-3b-sft) on the HuggingFaceH4/orca_dpo_pairs and the HuggingFaceH4/ultrafeedback_binarized datasets. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 0.6289 |
|
|
- Rewards/chosen: 0.7479 |
|
|
- Rewards/rejected: -3.8379 |
|
|
- Rewards/accuracies: 0.7405 |
|
|
- Rewards/margins: 4.5857 |
|
|
- Logps/rejected: -370.2327 |
|
|
- Logps/chosen: -338.3392 |
|
|
- Logits/rejected: 0.4475 |
|
|
- Logits/chosen: 0.3731 |
|
|
|
|
|
## 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-06 |
|
|
- train_batch_size: 4 |
|
|
- eval_batch_size: 4 |
|
|
- seed: 42 |
|
|
- distributed_type: multi-GPU |
|
|
- num_devices: 8 |
|
|
- 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: 0.03 |
|
|
- num_epochs: 3 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | |
|
|
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
|
|
| 0.5801 | 0.4739 | 100 | 0.6840 | 0.6485 | -2.9389 | 0.6899 | 3.5875 | -361.2435 | -339.3325 | 0.6783 | 0.6103 | |
|
|
| 0.537 | 0.9479 | 200 | 0.6514 | 0.2045 | -4.0315 | 0.7278 | 4.2360 | -372.1696 | -343.7731 | 0.5648 | 0.4948 | |
|
|
| 0.4787 | 1.4218 | 300 | 0.6387 | 0.4099 | -3.9882 | 0.7215 | 4.3981 | -371.7361 | -341.7187 | 0.5326 | 0.4589 | |
|
|
| 0.4559 | 1.8957 | 400 | 0.6332 | 0.7690 | -3.6688 | 0.7342 | 4.4379 | -368.5425 | -338.1277 | 0.4841 | 0.4110 | |
|
|
| 0.4028 | 2.3697 | 500 | 0.6289 | 0.7479 | -3.8379 | 0.7405 | 4.5857 | -370.2327 | -338.3392 | 0.4475 | 0.3731 | |
|
|
| 0.4029 | 2.8436 | 600 | 0.6284 | 0.8504 | -3.7058 | 0.7437 | 4.5562 | -368.9125 | -337.3143 | 0.4571 | 0.3820 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.44.2 |
|
|
- Pytorch 2.4.0+cu121 |
|
|
- Datasets 2.19.1 |
|
|
- Tokenizers 0.19.1 |
|
|
|
