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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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model-index:
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- name: roberta-base-biomedical-clinical-es-finetuned-ner
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# roberta-base-biomedical-clinical-es-finetuned-ner
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This model is a fine-tuned version of [PlanTL-GOB-ES/roberta-base-biomedical-clinical-es](https://huggingface.co/PlanTL-GOB-ES/roberta-base-biomedical-clinical-es) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1382
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 14
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.3315 | 1.0 | 12 | 0.3878 |
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| 0.2419 | 2.0 | 24 | 0.2655 |
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| 0.175 | 3.0 | 36 | 0.1888 |
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| 0.1441 | 4.0 | 48 | 0.1808 |
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| 0.1111 | 5.0 | 60 | 0.1544 |
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| 0.1064 | 6.0 | 72 | 0.1506 |
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| 0.0962 | 7.0 | 84 | 0.1396 |
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| 0.1367 | 8.0 | 96 | 0.1403 |
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| 0.0303 | 9.0 | 108 | 0.1415 |
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| 0.0741 | 10.0 | 120 | 0.1355 |
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| 0.0554 | 11.0 | 132 | 0.1355 |
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| 0.0542 | 12.0 | 144 | 0.1360 |
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| 0.0292 | 13.0 | 156 | 0.1369 |
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| 0.0188 | 14.0 | 168 | 0.1382 |
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### Framework versions
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- Transformers 4.21.2
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- Pytorch 1.12.1+cu113
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- Datasets 2.4.0
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- Tokenizers 0.12.1
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