distilgpt2-chatbot
This model is a fine-tuned version of distilgpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.5561
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: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.5425 | 1.0 | 23 | 2.9619 |
| 2.7262 | 2.0 | 46 | 2.6313 |
| 2.4575 | 3.0 | 69 | 2.5561 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.5.1+cpu
- Datasets 3.0.1
- Tokenizers 0.20.0
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Model tree for taronklm/distilgpt2-chatbot
Base model
distilbert/distilgpt2