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distilbert-base-uncased-becasv2-1
This model is a fine-tuned version of distilbert-base-uncased on the becasv2 dataset. It achieves the following results on the evaluation set:
- Loss: 2.9472
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: 10
- eval_batch_size: 10
- 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 |
|---|---|---|---|
| No log | 1.0 | 9 | 4.6722 |
| No log | 2.0 | 18 | 3.9450 |
| No log | 3.0 | 27 | 3.4890 |
| No log | 4.0 | 36 | 3.2251 |
| No log | 5.0 | 45 | 2.9906 |
| No log | 6.0 | 54 | 3.0790 |
| No log | 7.0 | 63 | 2.8791 |
| No log | 8.0 | 72 | 2.9654 |
| No log | 9.0 | 81 | 2.9460 |
| No log | 10.0 | 90 | 2.9472 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
