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bert-finetuned-ner
dfanswerrocket/bert-finetuned-ner
bert-finetuned-ner is a token classification model from dfanswerrocket. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Token Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Mar 1, 2023
- Updated
- Mar 2, 2023
- SHA
- aea722ae
Try a prompt
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
bert-finetuned-ner
This model is a fine-tuned version of bert-base-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.7230
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
- num_epochs: 100
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 68 | 7.5711 |
| No log | 2.0 | 136 | 7.5137 |
| No log | 3.0 | 204 | 7.4045 |
| No log | 4.0 | 272 | 7.2699 |
| No log | 5.0 | 340 | 7.1041 |
| No log | 6.0 | 408 | 6.9418 |
| No log | 7.0 | 476 | 6.7958 |
| 7.5401 | 8.0 | 544 | 6.6459 |
| 7.5401 | 9.0 | 612 | 6.5085 |
| 7.5401 | 10.0 | 680 | 6.3777 |
| 7.5401 | 11.0 | 748 | 6.2365 |
| 7.5401 | 12.0 | 816 | 6.1106 |
| 7.5401 | 13.0 | 884 | 5.9833 |
| 7.5401 | 14.0 | 952 | 5.8674 |
| 6.5715 | 15.0 | 1020 | 5.7555 |
| 6.5715 | 16.0 | 1088 | 5.6403 |
| 6.5715 | 17.0 | 1156 | 5.5376 |
| 6.5715 | 18.0 | 1224 | 5.4137 |
| 6.5715 | 19.0 | 1292 | 5.3225 |
| 6.5715 | 20.0 | 1360 | 5.2182 |
| 6.5715 | 21.0 | 1428 | 5.1122 |
| 6.5715 | 22.0 | 1496 | 5.0065 |
| 5.7874 | 23.0 | 1564 | 4.9041 |
| 5.7874 | 24.0 | 1632 | 4.8166 |
| 5.7874 | 25.0 | 1700 | 4.7134 |
| 5.7874 | 26.0 | 1768 | 4.6366 |
| 5.7874 | 27.0 | 1836 | 4.5368 |
| 5.7874 | 28.0 | 1904 | 4.4495 |
| 5.7874 | 29.0 | 1972 | 4.3610 |
| 5.0922 | 30.0 | 2040 | 4.2840 |
| 5.0922 | 31.0 | 2108 | 4.1986 |
| 5.0922 | 32.0 | 2176 | 4.1160 |
| 5.0922 | 33.0 | 2244 | 4.0367 |
| 5.0922 | 34.0 | 2312 | 3.9648 |
| 5.0922 | 35.0 | 2380 | 3.8908 |
| 5.0922 | 36.0 | 2448 | 3.8100 |
| 4.4927 | 37.0 | 2516 | 3.7385 |
| 4.4927 | 38.0 | 2584 | 3.6692 |
| 4.4927 | 39.0 | 2652 | 3.6037 |
| 4.4927 | 40.0 | 2720 | 3.5427 |
| 4.4927 | 41.0 | 2788 | 3.4718 |
| 4.4927 | 42.0 | 2856 | 3.4000 |
| 4.4927 | 43.0 | 2924 | 3.3363 |
| 4.4927 | 44.0 | 2992 | 3.2797 |
| 3.9767 | 45.0 | 3060 | 3.2366 |
| 3.9767 | 46.0 | 3128 | 3.1579 |
| 3.9767 | 47.0 | 3196 | 3.0965 |
| 3.9767 | 48.0 | 3264 | 3.0387 |
| 3.9767 | 49.0 | 3332 | 2.9887 |
| 3.9767 | 50.0 | 3400 | 2.9314 |
| 3.9767 | 51.0 | 3468 | 2.8779 |
| 3.5181 | 52.0 | 3536 | 2.8385 |
| 3.5181 | 53.0 | 3604 | 2.7807 |
| 3.5181 | 54.0 | 3672 | 2.7384 |
| 3.5181 | 55.0 | 3740 | 2.6938 |
| 3.5181 | 56.0 | 3808 | 2.6386 |
| 3.5181 | 57.0 | 3876 | 2.6043 |
| 3.5181 | 58.0 | 3944 | 2.5500 |
| 3.1415 | 59.0 | 4012 | 2.5146 |
| 3.1415 | 60.0 | 4080 | 2.4785 |
| 3.1415 | 61.0 | 4148 | 2.4321 |
| 3.1415 | 62.0 | 4216 | 2.3939 |
| 3.1415 | 63.0 | 4284 | 2.3641 |
| 3.1415 | 64.0 | 4352 | 2.3193 |
| 3.1415 | 65.0 | 4420 | 2.2894 |
| 3.1415 | 66.0 | 4488 | 2.2563 |
| 2.8316 | 67.0 | 4556 | 2.2242 |
| 2.8316 | 68.0 | 4624 | 2.1952 |
| 2.8316 | 69.0 | 4692 | 2.1640 |
| 2.8316 | 70.0 | 4760 | 2.1346 |
| 2.8316 | 71.0 | 4828 | 2.1069 |
| 2.8316 | 72.0 | 4896 | 2.0837 |
| 2.8316 | 73.0 | 4964 | 2.0536 |
| 2.5874 | 74.0 | 5032 | 2.0310 |
| 2.5874 | 75.0 | 5100 | 2.0053 |
| 2.5874 | 76.0 | 5168 | 1.9829 |
| 2.5874 | 77.0 | 5236 | 1.9605 |
| 2.5874 | 78.0 | 5304 | 1.9421 |
| 2.5874 | 79.0 | 5372 | 1.9192 |
| 2.5874 | 80.0 | 5440 | 1.9045 |
| 2.3824 | 81.0 | 5508 | 1.8918 |
| 2.3824 | 82.0 | 5576 | 1.8708 |
| 2.3824 | 83.0 | 5644 | 1.8547 |
| 2.3824 | 84.0 | 5712 | 1.8397 |
| 2.3824 | 85.0 | 5780 | 1.8275 |
| 2.3824 | 86.0 | 5848 | 1.8078 |
| 2.3824 | 87.0 | 5916 | 1.8017 |
| 2.3824 | 88.0 | 5984 | 1.7901 |
| 2.2537 | 89.0 | 6052 | 1.7802 |
| 2.2537 | 90.0 | 6120 | 1.7678 |
| 2.2537 | 91.0 | 6188 | 1.7610 |
| 2.2537 | 92.0 | 6256 | 1.7523 |
| 2.2537 | 93.0 | 6324 | 1.7447 |
| 2.2537 | 94.0 | 6392 | 1.7385 |
| 2.2537 | 95.0 | 6460 | 1.7343 |
| 2.1756 | 96.0 | 6528 | 1.7286 |
| 2.1756 | 97.0 | 6596 | 1.7267 |
| 2.1756 | 98.0 | 6664 | 1.7239 |
| 2.1756 | 99.0 | 6732 | 1.7233 |
| 2.1756 | 100.0 | 6800 | 1.7230 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Mar 1, 2023
- Updated
- Mar 2, 2023