update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- shared-task
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: bsc-bio-ehr-es-finetuned-ner-1
+  results:
+  - task:
+      name: Token Classification
+      type: token-classification
+    dataset:
+      name: shared-task
+      type: shared-task
+      config: Shared
+      split: validation
+      args: Shared
+    metrics:
+    - name: Precision
+      type: precision
+      value: 0.28507462686567164
+    - name: Recall
+      type: recall
+      value: 0.3560111835973905
+    - name: F1
+      type: f1
+      value: 0.3166183174471612
+    - name: Accuracy
+      type: accuracy
+      value: 0.8444321635810997
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# bsc-bio-ehr-es-finetuned-ner-1
+
+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.
+It achieves the following results on the evaluation set:
+- Loss: 0.6021
+- Precision: 0.2851
+- Recall: 0.3560
+- F1: 0.3166
+- Accuracy: 0.8444
+
+## 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: 5e-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: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 59   | 0.6644          | 0.2234    | 0.2600 | 0.2403 | 0.8198   |
+| No log        | 2.0   | 118  | 0.5786          | 0.1997    | 0.2507 | 0.2223 | 0.8331   |
+| No log        | 3.0   | 177  | 0.6083          | 0.2732    | 0.3187 | 0.2942 | 0.8379   |
+| No log        | 4.0   | 236  | 0.6032          | 0.2855    | 0.3486 | 0.3139 | 0.8366   |
+| No log        | 5.0   | 295  | 0.6021          | 0.2851    | 0.3560 | 0.3166 | 0.8444   |
+
+
+### Framework versions
+
+- Transformers 4.28.1
+- Pytorch 2.0.0+cu118
+- Datasets 2.11.0
+- Tokenizers 0.13.3