| --- |
| base_model: "mistralai/Mistral-Nemo-Instruct-2407" |
| library_name: peft |
| tags: |
| - lora |
| - adapter |
| --- |
| |
| <!-- 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. --> |
|
|
| # lora |
|
|
| This model is a fine-tuned version of [mistralai/Mistral-Nemo-Instruct-2407](https://huggingface.co/mistralai/Mistral-Nemo-Instruct-2407) on the ft_01KSWQ2Z_d0, the ft_01KSWQ2Z_d1, the ft_01KSWQ2Z_d2, the ft_01KSWQ2Z_d3, the ft_01KSWQ2Z_d4 and the ft_01KSWQ2Z_d5 datasets. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.7760 |
|
|
| ## 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-05 |
| - train_batch_size: 4 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 16 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_ratio: 0.05 |
| - num_epochs: 2.0 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:------:|:----:|:---------------:| |
| | 0.8569 | 0.2903 | 100 | 0.8779 | |
| | 0.8435 | 0.5806 | 200 | 0.8248 | |
| | 0.7267 | 0.8708 | 300 | 0.8032 | |
| | 0.7409 | 1.1597 | 400 | 0.7901 | |
| | 0.663 | 1.4499 | 500 | 0.7802 | |
| | 0.7083 | 1.7402 | 600 | 0.7767 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.19.1 |
| - Transformers 4.57.1 |
| - Pytorch 2.10.0+rocm7.0 |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.2 |
