| | --- |
| | license: mit |
| | library_name: peft |
| | tags: |
| | - trl |
| | - sft |
| | - unsloth |
| | - generated_from_trainer |
| | base_model: unsloth/phi-3-mini-4k-instruct-bnb-4bit |
| | model-index: |
| | - name: outputs |
| | 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. --> |
| |
|
| | # outputs |
| |
|
| | This model is a fine-tuned version of [unsloth/phi-3-mini-4k-instruct-bnb-4bit](https://huggingface.co/unsloth/phi-3-mini-4k-instruct-bnb-4bit) 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: 0.0002 |
| | - train_batch_size: 2 |
| | - eval_batch_size: 8 |
| | - seed: 3407 |
| | - gradient_accumulation_steps: 4 |
| | - total_train_batch_size: 8 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_steps: 5 |
| | - training_steps: 60 |
| |
|
| | ### Training results |
| |
|
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - PEFT 0.11.1 |
| | - Transformers 4.42.3 |
| | - Pytorch 2.2.1+cu121 |
| | - Datasets 2.19.2 |
| | - Tokenizers 0.19.1 |
