20231128_ClinBigBird_10ep_NewLabels
This model is a fine-tuned version of yikuan8/Clinical-BigBird on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1090
- Accuracy: 0.78
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: 3e-05
- train_batch_size: 12
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 101 | 2.0986 | 0.36 |
| No log | 2.0 | 202 | 1.3181 | 0.64 |
| No log | 3.0 | 303 | 1.0754 | 0.76 |
| No log | 4.0 | 404 | 1.0497 | 0.74 |
| 1.1293 | 5.0 | 505 | 1.0520 | 0.76 |
| 1.1293 | 6.0 | 606 | 1.0080 | 0.78 |
| 1.1293 | 7.0 | 707 | 1.0404 | 0.77 |
| 1.1293 | 8.0 | 808 | 1.1186 | 0.76 |
| 1.1293 | 9.0 | 909 | 1.1090 | 0.78 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.0.1+cu118
- Datasets 2.10.1
- Tokenizers 0.14.1
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Base model
yikuan8/Clinical-BigBird