| | --- |
| | base_model: deepseek-ai/deepseek-coder-6.7b-instruct |
| | library_name: peft |
| | license: other |
| | tags: |
| | - llama-factory |
| | - lora |
| | - generated_from_trainer |
| | model-index: |
| | - name: 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. --> |
| |
|
| | # dpo |
| |
|
| | This model is a fine-tuned version of [deepseek-ai/deepseek-coder-6.7b-instruct](https://huggingface.co/deepseek-ai/deepseek-coder-6.7b-instruct) on the area dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.6819 |
| | - Rewards/chosen: 0.0319 |
| | - Rewards/rejected: -0.0669 |
| | - Rewards/accuracies: 0.6667 |
| | - Rewards/margins: 0.0988 |
| | - Logps/rejected: -82.3286 |
| | - Logps/chosen: -161.5981 |
| | - Logits/rejected: 1.6967 |
| | - Logits/chosen: 1.8235 |
| |
|
| | ## 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-06 |
| | - train_batch_size: 1 |
| | - eval_batch_size: 1 |
| | - seed: 42 |
| | - distributed_type: multi-GPU |
| | - num_devices: 8 |
| | - gradient_accumulation_steps: 8 |
| | - total_train_batch_size: 64 |
| | - total_eval_batch_size: 8 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: cosine |
| | - lr_scheduler_warmup_ratio: 0.1 |
| | - num_epochs: 10.0 |
| | |
| | ### Training results |
| | |
| | |
| | |
| | ### Framework versions |
| | |
| | - PEFT 0.12.0 |
| | - Transformers 4.45.2 |
| | - Pytorch 2.4.1+cu124 |
| | - Datasets 2.21.0 |
| | - Tokenizers 0.20.0 |
