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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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datasets: |
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- shared-task |
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metrics: |
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- precision |
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- recall |
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- f1 |
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- accuracy |
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model-index: |
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- name: bsc-bio-ehr-es-finetuned-ner-1 |
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results: |
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- task: |
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name: Token Classification |
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type: token-classification |
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dataset: |
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name: shared-task |
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type: shared-task |
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config: Shared |
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split: validation |
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args: Shared |
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metrics: |
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- name: Precision |
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type: precision |
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value: 0.28507462686567164 |
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- name: Recall |
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type: recall |
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value: 0.3560111835973905 |
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- name: F1 |
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type: f1 |
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value: 0.3166183174471612 |
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- name: Accuracy |
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type: accuracy |
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value: 0.8444321635810997 |
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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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# bsc-bio-ehr-es-finetuned-ner-1 |
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This model is a fine-tuned version of [PlanTL-GOB-ES/bsc-bio-ehr-es](https://huggingface.co/PlanTL-GOB-ES/bsc-bio-ehr-es) on the shared-task dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6021 |
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- Precision: 0.2851 |
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- Recall: 0.3560 |
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- F1: 0.3166 |
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- Accuracy: 0.8444 |
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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: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| |
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| No log | 1.0 | 59 | 0.6644 | 0.2234 | 0.2600 | 0.2403 | 0.8198 | |
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| No log | 2.0 | 118 | 0.5786 | 0.1997 | 0.2507 | 0.2223 | 0.8331 | |
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| No log | 3.0 | 177 | 0.6083 | 0.2732 | 0.3187 | 0.2942 | 0.8379 | |
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| No log | 4.0 | 236 | 0.6032 | 0.2855 | 0.3486 | 0.3139 | 0.8366 | |
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| No log | 5.0 | 295 | 0.6021 | 0.2851 | 0.3560 | 0.3166 | 0.8444 | |
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### Framework versions |
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- Transformers 4.28.1 |
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- Pytorch 2.0.0+cu118 |
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- Datasets 2.11.0 |
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- Tokenizers 0.13.3 |
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