| | --- |
| | library_name: transformers |
| | license: other |
| | base_model: aubmindlab/aragpt2-large |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: DrAI-chatbot |
| | 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. --> |
| |
|
| | # DrAI-chatbot |
| |
|
| | This model is a fine-tuned version of [aubmindlab/aragpt2-large](https://huggingface.co/aubmindlab/aragpt2-large) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 4.2181 |
| |
|
| | ## 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: 5e-05 |
| | - train_batch_size: 1 |
| | - eval_batch_size: 1 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 32 |
| | - total_train_batch_size: 32 |
| | - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| | - lr_scheduler_type: linear |
| | - num_epochs: 10 |
| | - mixed_precision_training: Native AMP |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:------:|:----:|:---------------:| |
| | | 107.5815 | 1.0 | 135 | 3.1959 | |
| | | 92.4065 | 2.0 | 270 | 3.1177 | |
| | | 82.5107 | 3.0 | 405 | 3.1419 | |
| | | 69.6446 | 4.0 | 540 | 3.2807 | |
| | | 61.3893 | 5.0 | 675 | 3.4748 | |
| | | 51.678 | 6.0 | 810 | 3.6348 | |
| | | 45.5323 | 7.0 | 945 | 3.8739 | |
| | | 38.5833 | 8.0 | 1080 | 4.0467 | |
| | | 35.6599 | 9.0 | 1215 | 4.1354 | |
| | | 31.9573 | 9.9264 | 1340 | 4.2181 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.47.1 |
| | - Pytorch 2.5.1+cu121 |
| | - Datasets 3.2.0 |
| | - Tokenizers 0.21.0 |
| | |
