| | --- |
| | base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ |
| | library_name: peft |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: shawgpt-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. --> |
| |
|
| | # shawgpt-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 an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 1.6823 |
| |
|
| | ## 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 | |
| | |:-------------:|:------:|:----:|:---------------:| |
| | | 4.1802 | 0.9231 | 3 | 2.4608 | |
| | | 1.9332 | 1.8462 | 6 | 1.3354 | |
| | | 1.1532 | 2.7692 | 9 | 1.2655 | |
| | | 0.7018 | 4.0 | 13 | 1.2947 | |
| | | 0.7547 | 4.9231 | 16 | 1.3010 | |
| | | 0.5397 | 5.8462 | 19 | 1.4412 | |
| | | 0.3709 | 6.7692 | 22 | 1.4745 | |
| | | 0.199 | 8.0 | 26 | 1.6245 | |
| | | 0.1975 | 8.9231 | 29 | 1.6765 | |
| | | 0.1389 | 9.2308 | 30 | 1.6823 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - PEFT 0.11.1 |
| | - Transformers 4.41.2 |
| | - Pytorch 2.3.1+cu121 |
| | - Datasets 2.20.0 |
| | - Tokenizers 0.19.1 |
