DrAI-chatbot
This model is a fine-tuned version of 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
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Model tree for ehab215/DrAI-chatbot
Base model
aubmindlab/aragpt2-large