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distilbert-base-uncased-becasv2-4
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: 3.4637
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 6 | 5.3677 |
| No log | 2.0 | 12 | 4.6741 |
| No log | 3.0 | 18 | 4.2978 |
| No log | 4.0 | 24 | 3.9963 |
| No log | 5.0 | 30 | 3.7544 |
| No log | 6.0 | 36 | 3.5810 |
| No log | 7.0 | 42 | 3.4932 |
| No log | 8.0 | 48 | 3.4637 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
