| | --- |
| | base_model: scb10x/typhoon-7b |
| | library_name: peft |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: local_model_directory |
| | 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. --> |
| |
|
| | # local_model_directory |
| |
|
| | This model is a fine-tuned version of [scb10x/typhoon-7b](https://huggingface.co/scb10x/typhoon-7b) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.4505 |
| |
|
| | ## 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: 8 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 4 |
| | - total_train_batch_size: 32 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_steps: 2 |
| | - num_epochs: 100 |
| | - mixed_precision_training: Native AMP |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:------:|:----:|:---------------:| |
| | | 5.0407 | 0.9524 | 5 | 4.8168 | |
| | | 3.5268 | 1.9048 | 10 | 2.1234 | |
| | | 1.9397 | 2.8571 | 15 | 1.2800 | |
| | | 1.0223 | 4.0 | 21 | 0.7717 | |
| | | 0.8135 | 4.9524 | 26 | 0.5757 | |
| | | 0.6574 | 5.9048 | 31 | 0.5178 | |
| | | 0.5833 | 6.8571 | 36 | 0.4854 | |
| | | 0.4549 | 8.0 | 42 | 0.4494 | |
| | | 0.5012 | 8.9524 | 47 | 0.4294 | |
| | | 0.514 | 9.9048 | 52 | 0.4505 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - PEFT 0.11.1 |
| | - Transformers 4.42.3 |
| | - Pytorch 2.3.1+cu121 |
| | - Datasets 2.20.0 |
| | - Tokenizers 0.19.1 |
