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distilbert-base-uncased-gradient-clinic
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2601
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: 36
- eval_batch_size: 36
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 24 | 0.8576 |
| No log | 2.0 | 48 | 0.3439 |
| No log | 3.0 | 72 | 0.2807 |
| No log | 4.0 | 96 | 0.2653 |
| No log | 5.0 | 120 | 0.2601 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.10.2
- Datasets 2.1.0
- Tokenizers 0.12.1
