scibert-lm-v1-finetuned-20
This model is a fine-tuned version of allenai/scibert_scivocab_cased on the conll2003 dataset. It achieves the following results on the evaluation set:
- Loss: 22.6145
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0118 | 1.0 | 1756 | 15.0609 |
| 0.0001 | 2.0 | 3512 | 17.9265 |
| 0.0 | 3.0 | 5268 | 18.6256 |
| 0.0001 | 4.0 | 7024 | 19.5144 |
| 0.0002 | 5.0 | 8780 | 19.8926 |
| 0.0 | 6.0 | 10536 | 21.6975 |
| 0.0 | 7.0 | 12292 | 22.2388 |
| 0.0 | 8.0 | 14048 | 21.0441 |
| 0.0 | 9.0 | 15804 | 21.6852 |
| 0.0 | 10.0 | 17560 | 22.4439 |
| 0.0 | 11.0 | 19316 | 20.9994 |
| 0.0 | 12.0 | 21072 | 21.7275 |
| 0.0 | 13.0 | 22828 | 22.1329 |
| 0.0 | 14.0 | 24584 | 22.4599 |
| 0.0 | 15.0 | 26340 | 22.5726 |
| 0.0 | 16.0 | 28096 | 22.7823 |
| 0.0 | 17.0 | 29852 | 22.4167 |
| 0.0 | 18.0 | 31608 | 22.4075 |
| 0.0 | 19.0 | 33364 | 22.5731 |
| 0.0 | 20.0 | 35120 | 22.6145 |
Framework versions
- Transformers 4.21.1
- Pytorch 1.12.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
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