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RoBERTa-large-PM-M3-Voc-hf-finetuned-ner
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2997
- Precision: 0.7370
- Recall: 0.8282
- F1: 0.7800
- Accuracy: 0.9266
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: cosine
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 23 | 1.2765 | 1.0 | 0.0021 | 0.0041 | 0.7090 |
| No log | 2.0 | 46 | 0.8236 | 0.4543 | 0.3562 | 0.3993 | 0.7750 |
| No log | 3.0 | 69 | 0.6200 | 0.5096 | 0.5362 | 0.5226 | 0.8046 |
| No log | 4.0 | 92 | 0.5748 | 0.5196 | 0.6359 | 0.5719 | 0.8128 |
| No log | 5.0 | 115 | 0.5690 | 0.5048 | 0.6983 | 0.5860 | 0.8151 |
| No log | 6.0 | 138 | 0.4617 | 0.5851 | 0.6997 | 0.6373 | 0.8557 |
| No log | 7.0 | 161 | 0.4558 | 0.5852 | 0.7367 | 0.6523 | 0.8585 |
| No log | 8.0 | 184 | 0.3995 | 0.6241 | 0.7535 | 0.6827 | 0.8832 |
| No log | 9.0 | 207 | 0.3679 | 0.6446 | 0.7549 | 0.6954 | 0.8926 |
| No log | 10.0 | 230 | 0.3332 | 0.6867 | 0.7724 | 0.7270 | 0.9059 |
| No log | 11.0 | 253 | 0.3346 | 0.6805 | 0.7902 | 0.7313 | 0.9068 |
| No log | 12.0 | 276 | 0.3303 | 0.6900 | 0.8012 | 0.7414 | 0.9100 |
| No log | 13.0 | 299 | 0.3104 | 0.7041 | 0.8029 | 0.7503 | 0.9171 |
| No log | 14.0 | 322 | 0.3194 | 0.7037 | 0.8149 | 0.7552 | 0.9158 |
| No log | 15.0 | 345 | 0.2978 | 0.7342 | 0.8125 | 0.7714 | 0.9255 |
| No log | 16.0 | 368 | 0.2993 | 0.7347 | 0.8221 | 0.7759 | 0.9266 |
| No log | 17.0 | 391 | 0.3009 | 0.7346 | 0.8255 | 0.7774 | 0.9258 |
| No log | 18.0 | 414 | 0.3006 | 0.7341 | 0.8255 | 0.7772 | 0.9259 |
| No log | 19.0 | 437 | 0.2988 | 0.7379 | 0.8272 | 0.7800 | 0.9267 |
| No log | 20.0 | 460 | 0.2997 | 0.7370 | 0.8282 | 0.7800 | 0.9266 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
