DialoGPT_EmpAI_small
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: 2.8442
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: 0.001
- 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: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 483 | 3.1605 |
| 4.4039 | 2.0 | 967 | 2.9899 |
| 3.2069 | 3.0 | 1450 | 2.9345 |
| 3.0663 | 4.0 | 1934 | 2.9160 |
| 3.0137 | 4.99 | 2415 | 2.9132 |
| 2.9913 | 6.0 | 2898 | 2.8783 |
| 2.9588 | 7.0 | 3382 | 2.8583 |
| 2.8943 | 8.0 | 3864 | 2.8482 |
| 2.8929 | 9.0 | 4348 | 2.8446 |
| 2.8822 | 10.0 | 4830 | 2.8442 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Base model
microsoft/DialoGPT-small