| --- |
| library_name: peft |
| license: apache-2.0 |
| base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: tabeehive-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. --> |
|
|
| # tabeehive-ft |
|
|
| 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 the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.9008 |
|
|
| ## Model description |
|
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| More information needed |
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|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 0.0002 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 32 |
| - 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: 5 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 2.1091 | 1.0 | 5 | 1.8586 | |
| | 1.6822 | 2.0 | 10 | 1.4824 | |
| | 1.3324 | 3.0 | 15 | 1.1899 | |
| | 1.0697 | 4.0 | 20 | 0.9876 | |
| | 0.9063 | 5.0 | 25 | 0.9008 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.15.2 |
| - Transformers 4.52.4 |
| - Pytorch 2.7.1+cu126 |
| - Datasets 2.14.4 |
| - Tokenizers 0.21.1 |
