dialochess-v3
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: 0.8843
- Accuracy: 0.0002
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.3128 | 0.1616 | 200 | 1.1914 | 0.0002 |
| 1.1935 | 0.3231 | 400 | 1.0974 | 0.0002 |
| 1.1181 | 0.4847 | 600 | 1.0419 | 0.0 |
| 1.0778 | 0.6462 | 800 | 1.0080 | 0.0 |
| 1.0426 | 0.8078 | 1000 | 0.9828 | 0.0002 |
| 1.0185 | 0.9693 | 1200 | 0.9612 | 0.0002 |
| 1.0075 | 1.1309 | 1400 | 0.9458 | 0.0001 |
| 0.9765 | 1.2924 | 1600 | 0.9348 | 0.0002 |
| 0.9806 | 1.4540 | 1800 | 0.9248 | 0.0001 |
| 0.9542 | 1.6155 | 2000 | 0.9132 | 0.0002 |
| 0.9684 | 1.7771 | 2200 | 0.9059 | 0.0002 |
| 0.9525 | 1.9386 | 2400 | 0.9015 | 0.0002 |
| 0.9396 | 2.1002 | 2600 | 0.8960 | 0.0002 |
| 0.9342 | 2.2617 | 2800 | 0.8896 | 0.0002 |
| 0.9327 | 2.4233 | 3000 | 0.8874 | 0.0002 |
| 0.9344 | 2.5848 | 3200 | 0.8848 | 0.0002 |
| 0.9272 | 2.7464 | 3400 | 0.8848 | 0.0002 |
| 0.9288 | 2.9079 | 3600 | 0.8843 | 0.0002 |
Framework versions
- Transformers 4.57.2
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1