metadata
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: roberta-base-biomedical-clinical-es-finetuned-ner
results: []
roberta-base-biomedical-clinical-es-finetuned-ner
This model is a fine-tuned version of PlanTL-GOB-ES/roberta-base-biomedical-clinical-es on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1382
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: 14
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3315 | 1.0 | 12 | 0.3878 |
| 0.2419 | 2.0 | 24 | 0.2655 |
| 0.175 | 3.0 | 36 | 0.1888 |
| 0.1441 | 4.0 | 48 | 0.1808 |
| 0.1111 | 5.0 | 60 | 0.1544 |
| 0.1064 | 6.0 | 72 | 0.1506 |
| 0.0962 | 7.0 | 84 | 0.1396 |
| 0.1367 | 8.0 | 96 | 0.1403 |
| 0.0303 | 9.0 | 108 | 0.1415 |
| 0.0741 | 10.0 | 120 | 0.1355 |
| 0.0554 | 11.0 | 132 | 0.1355 |
| 0.0542 | 12.0 | 144 | 0.1360 |
| 0.0292 | 13.0 | 156 | 0.1369 |
| 0.0188 | 14.0 | 168 | 0.1382 |
Framework versions
- Transformers 4.21.2
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1