metadata
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bert-finetuned-ner
results: []
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: 6.1090
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: 30
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 70 | 8.6531 |
| No log | 2.0 | 140 | 8.3935 |
| No log | 3.0 | 210 | 8.2279 |
| No log | 4.0 | 280 | 8.0728 |
| No log | 5.0 | 350 | 7.9139 |
| No log | 6.0 | 420 | 7.7655 |
| No log | 7.0 | 490 | 7.6321 |
| 8.2602 | 8.0 | 560 | 7.4960 |
| 8.2602 | 9.0 | 630 | 7.3789 |
| 8.2602 | 10.0 | 700 | 7.2505 |
| 8.2602 | 11.0 | 770 | 7.1390 |
| 8.2602 | 12.0 | 840 | 7.0327 |
| 8.2602 | 13.0 | 910 | 6.9259 |
| 8.2602 | 14.0 | 980 | 6.8442 |
| 7.4097 | 15.0 | 1050 | 6.7584 |
| 7.4097 | 16.0 | 1120 | 6.6727 |
| 7.4097 | 17.0 | 1190 | 6.5904 |
| 7.4097 | 18.0 | 1260 | 6.5285 |
| 7.4097 | 19.0 | 1330 | 6.4555 |
| 7.4097 | 20.0 | 1400 | 6.4051 |
| 7.4097 | 21.0 | 1470 | 6.3435 |
| 6.82 | 22.0 | 1540 | 6.2980 |
| 6.82 | 23.0 | 1610 | 6.2529 |
| 6.82 | 24.0 | 1680 | 6.2188 |
| 6.82 | 25.0 | 1750 | 6.1833 |
| 6.82 | 26.0 | 1820 | 6.1628 |
| 6.82 | 27.0 | 1890 | 6.1386 |
| 6.82 | 28.0 | 1960 | 6.1211 |
| 6.4746 | 29.0 | 2030 | 6.1138 |
| 6.4746 | 30.0 | 2100 | 6.1090 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2