| | --- |
| | library_name: transformers |
| | license: mit |
| | base_model: microsoft/DialoGPT-small |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - empathetic_dialogues |
| | model-index: |
| | - name: misafetychatbot |
| | 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. --> |
| |
|
| | # misafetychatbot |
| |
|
| | This model is a fine-tuned version of [microsoft/DialoGPT-small](https://huggingface.co/microsoft/DialoGPT-small) on the empathetic_dialogues dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 2.9995 |
| | |
| | ## 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: 3e-05 |
| | - train_batch_size: 16 |
| | - eval_batch_size: 16 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 2 |
| | - 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 |
| | - lr_scheduler_warmup_steps: 500 |
| | - num_epochs: 3 |
| | - mixed_precision_training: Native AMP |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:------:|:----:|:---------------:| |
| | | 3.1961 | 1.0 | 2397 | 3.0838 | |
| | | 3.0583 | 2.0 | 4794 | 3.0121 | |
| | | 2.9961 | 2.9990 | 7188 | 2.9995 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.48.2 |
| | - Pytorch 2.5.1+cu124 |
| | - Datasets 3.2.0 |
| | - Tokenizers 0.21.0 |
| | |
