| | --- |
| | library_name: peft |
| | license: apache-2.0 |
| | base_model: mistralai/Mistral-7B-Instruct-v0.2 |
| | tags: |
| | - base_model:adapter:mistralai/Mistral-7B-Instruct-v0.2 |
| | - lora |
| | - transformers |
| | pipeline_tag: text-generation |
| | model-index: |
| | - name: sushilgpt-ft |
| | 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. --> |
| |
|
| | # sushilgpt-ft |
| |
|
| | This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 1.4781 |
| |
|
| | ## 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: 4 |
| | - eval_batch_size: 4 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 4 |
| | - total_train_batch_size: 16 |
| | - optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_steps: 2 |
| | - num_epochs: 10 |
| | - mixed_precision_training: Native AMP |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 4.2913 | 1.0 | 4 | 3.8195 | |
| | | 3.5366 | 2.0 | 8 | 3.1608 | |
| | | 2.9812 | 3.0 | 12 | 2.6754 | |
| | | 2.5059 | 4.0 | 16 | 2.2791 | |
| | | 2.1796 | 5.0 | 20 | 1.9582 | |
| | | 1.7299 | 6.0 | 24 | 1.7228 | |
| | | 1.5072 | 7.0 | 28 | 1.5915 | |
| | | 1.4846 | 8.0 | 32 | 1.5249 | |
| | | 1.4298 | 9.0 | 36 | 1.4902 | |
| | | 1.3238 | 10.0 | 40 | 1.4781 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - PEFT 0.17.1 |
| | - Transformers 4.57.0 |
| | - Pytorch 2.8.0+cu126 |
| | - Datasets 4.0.0 |
| | - Tokenizers 0.22.1 |
