update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: BERT_ep5_lr1_v1
+  results: []
+---
+
+<!-- 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. -->
+
+# BERT_ep5_lr1_v1
+
+This model is a fine-tuned version of [ajtamayoh/NER_EHR_Spanish_model_Mulitlingual_BERT](https://huggingface.co/ajtamayoh/NER_EHR_Spanish_model_Mulitlingual_BERT) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1313
+- Precision: 0.8697
+- Recall: 0.8861
+- F1: 0.8778
+- Accuracy: 0.9769
+
+## 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   | 467  | 0.0936          | 0.8366    | 0.8619 | 0.8491 | 0.9731   |
+| 0.1034        | 2.0   | 934  | 0.0847          | 0.8434    | 0.8761 | 0.8595 | 0.9746   |
+| 0.0538        | 3.0   | 1401 | 0.1063          | 0.8589    | 0.8783 | 0.8685 | 0.9749   |
+| 0.0274        | 4.0   | 1868 | 0.1101          | 0.8607    | 0.8783 | 0.8694 | 0.9757   |
+| 0.0163        | 5.0   | 2335 | 0.1313          | 0.8697    | 0.8861 | 0.8778 | 0.9769   |
+
+
+### Framework versions
+
+- Transformers 4.27.4
+- Pytorch 2.0.0+cu118
+- Datasets 2.11.0
+- Tokenizers 0.13.3