ner-bio-annotated-7-1
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2128
- Precision: 0.8028
- Recall: 0.8397
- F1: 0.8209
- Accuracy: 0.9370
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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|
| No log | 1.0 | 67 | 0.2779 | 0.7497 | 0.7533 | 0.7515 | 0.9107 |
| No log | 2.0 | 134 | 0.2448 | 0.7718 | 0.7888 | 0.7802 | 0.9224 |
| No log | 3.0 | 201 | 0.2289 | 0.7716 | 0.8319 | 0.8006 | 0.9287 |
| No log | 4.0 | 268 | 0.2158 | 0.7995 | 0.8393 | 0.8189 | 0.9362 |
| No log | 5.0 | 335 | 0.2128 | 0.8028 | 0.8397 | 0.8209 | 0.9370 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.0+cpu
- Datasets 2.1.0
- Tokenizers 0.13.3
