DialoGPT-small_tiaa_chatbot
This model is a fine-tuned version of microsoft/DialoGPT-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.8569
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: 2
- eval_batch_size: 2
- seed: 42
- 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 9 | 7.3813 |
| No log | 2.0 | 18 | 4.5679 |
| No log | 3.0 | 27 | 3.8569 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cpu
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for techlearninghub/DialoGPT-small_tiaa_chatbot
Base model
microsoft/DialoGPT-small