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LR1E5-BS8-Distil-CNN512LSTM256NoBi
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: 1.3047
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.7781 | 1.0 | 6580 | 1.6331 |
| 1.235 | 2.0 | 13160 | 1.2036 |
| 0.951 | 3.0 | 19740 | 1.1857 |
| 0.7847 | 4.0 | 26320 | 1.2156 |
| 0.6643 | 5.0 | 32900 | 1.3047 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
