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medlid-bySent
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2216
- Precision: 0.4773
- Recall: 0.4837
- F1: 0.4805
- Accuracy: 0.9730
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: 8
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 9
Training results
Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
---|---|---|---|---|---|---|---|
0.0659 | 1.0 | 761 | 0.0973 | 0.4551 | 0.2726 | 0.3409 | 0.9727 |
0.0482 | 2.0 | 1522 | 0.1189 | 0.4506 | 0.4031 | 0.4255 | 0.9724 |
0.0263 | 3.0 | 2283 | 0.1183 | 0.3406 | 0.5125 | 0.4092 | 0.9680 |
0.0177 | 4.0 | 3044 | 0.1465 | 0.4467 | 0.4664 | 0.4563 | 0.9731 |
0.0104 | 5.0 | 3805 | 0.1728 | 0.4533 | 0.4568 | 0.4551 | 0.9722 |
0.0062 | 6.0 | 4566 | 0.1866 | 0.4672 | 0.4511 | 0.4590 | 0.9731 |
0.0046 | 7.0 | 5327 | 0.2063 | 0.4897 | 0.5029 | 0.4962 | 0.9730 |
0.0022 | 8.0 | 6088 | 0.2178 | 0.4618 | 0.4760 | 0.4688 | 0.9726 |
0.002 | 9.0 | 6849 | 0.2216 | 0.4773 | 0.4837 | 0.4805 | 0.9730 |
Framework versions
- Transformers 4.30.2
- Pytorch 1.11.0
- Datasets 2.13.1
- Tokenizers 0.13.3