DialoGPT_EmpAI_final2
This model is a fine-tuned version of microsoft/DialoGPT-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.7547
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 25000
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.5766 | 1.0 | 1500 | 3.9055 |
| 3.6326 | 2.0 | 3000 | 3.3553 |
| 3.3738 | 3.0 | 4500 | 3.1776 |
| 3.2193 | 4.0 | 6000 | 3.0785 |
| 3.1067 | 5.0 | 7500 | 3.0097 |
| 3.0286 | 6.0 | 9000 | 2.9714 |
| 2.961 | 7.0 | 10500 | 2.9407 |
| 2.8925 | 8.0 | 12000 | 2.9111 |
| 2.8291 | 9.0 | 13500 | 2.8815 |
| 2.7617 | 10.0 | 15000 | 2.8577 |
| 2.7061 | 11.0 | 16500 | 2.8126 |
| 2.6515 | 12.0 | 18000 | 2.7981 |
| 2.6165 | 13.0 | 19500 | 2.7822 |
| 2.5813 | 14.0 | 21000 | 2.7689 |
| 2.5213 | 15.0 | 22500 | 2.7547 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2