| | --- |
| | license: other |
| | library_name: peft |
| | tags: |
| | - generated_from_trainer |
| | base_model: deepseek-ai/deepseek-coder-6.7b-instruct |
| | model-index: |
| | - name: peft-lora-deepseek6.7b |
| | 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. --> |
| |
|
| | # peft-lora-deepseek6.7b |
| |
|
| | 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 an unknown dataset. |
| |
|
| | ## 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: 0.0005 |
| | - train_batch_size: 4 |
| | - eval_batch_size: 4 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 4 |
| | - total_train_batch_size: 16 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: cosine |
| | - lr_scheduler_warmup_steps: 30 |
| | - num_epochs: 1 |
| |
|
| | ### Training results |
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|
| | ### Framework versions |
| |
|
| | - PEFT 0.7.2.dev0 |
| | - Transformers 4.37.0.dev0 |
| | - Pytorch 2.1.1+cu121 |
| | - Datasets 2.15.0 |
| | - Tokenizers 0.15.0 |
