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distilbert-base-uncased-finetuned-AI-gen
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.2321
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: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.5684 | 1.0 | 110 | 2.3632 |
| 2.4149 | 2.0 | 220 | 2.3037 |
| 2.3878 | 3.0 | 330 | 2.2132 |
Framework versions
- Transformers 4.33.3
- Pytorch 1.11.0
- Datasets 2.14.5
- Tokenizers 0.13.3
