| --- |
| license: apache-2.0 |
| library_name: peft |
| tags: |
| - generated_from_trainer |
| base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ |
| model-index: |
| - name: DataShield |
| 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. --> |
|
|
| # DataShield |
|
|
| 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: 1.0984 |
|
|
| ## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - 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 | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 1.6923 | 0.92 | 3 | 1.5242 | |
| | 1.6311 | 1.85 | 6 | 1.4465 | |
| | 1.535 | 2.77 | 9 | 1.3561 | |
| | 1.0871 | 4.0 | 13 | 1.2616 | |
| | 1.3893 | 4.92 | 16 | 1.2132 | |
| | 1.3384 | 5.85 | 19 | 1.1729 | |
| | 1.2877 | 6.77 | 22 | 1.1437 | |
| | 0.9564 | 8.0 | 26 | 1.1171 | |
| | 1.2534 | 8.92 | 29 | 1.1011 | |
| | 0.8827 | 9.23 | 30 | 1.0984 | |
|
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|
|
| ### Framework versions |
|
|
| - PEFT 0.10.0 |
| - Transformers 4.38.2 |
| - Pytorch 2.1.0+cu121 |
| - Datasets 2.18.0 |
| - Tokenizers 0.15.2 |
