| | --- |
| | license: apache-2.0 |
| | library_name: peft |
| | tags: |
| | - generated_from_trainer |
| | base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ |
| | model-index: |
| | - name: ft-output |
| | 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. --> |
| |
|
| | # ft-output |
| |
|
| | This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GPTQ) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 2.1905 |
| |
|
| | ## 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: 2e-05 |
| | - 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: linear |
| | - lr_scheduler_warmup_steps: 2 |
| | - num_epochs: 5 |
| | - mixed_precision_training: Native AMP |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 2.6661 | 1.0 | 173 | 2.3475 | |
| | | 2.2794 | 2.0 | 347 | 2.2422 | |
| | | 2.2153 | 3.0 | 520 | 2.2061 | |
| | | 2.1769 | 4.0 | 694 | 2.1939 | |
| | | 2.1737 | 4.99 | 865 | 2.1905 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - PEFT 0.9.0 |
| | - Transformers 4.38.2 |
| | - Pytorch 2.2.1+cu121 |
| | - Datasets 2.18.0 |
| | - Tokenizers 0.15.2 |
