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-large-uncased-v10-ES-ner
+  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-large-uncased-v10-ES-ner
+
+This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5047
+- Precision: 0.6503
+- Recall: 0.7107
+- F1: 0.6792
+- Accuracy: 0.9157
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.4056        | 1.75  | 500  | 0.3016          | 0.6128    | 0.6736 | 0.6417 | 0.9118   |
+| 0.1603        | 3.5   | 1000 | 0.3561          | 0.6350    | 0.6756 | 0.6547 | 0.9105   |
+| 0.0727        | 5.24  | 1500 | 0.4252          | 0.6654    | 0.7149 | 0.6892 | 0.9163   |
+| 0.0341        | 6.99  | 2000 | 0.4574          | 0.6542    | 0.6839 | 0.6687 | 0.9124   |
+| 0.0168        | 8.74  | 2500 | 0.5047          | 0.6503    | 0.7107 | 0.6792 | 0.9157   |
+
+
+### Framework versions
+
+- Transformers 4.26.1
+- Pytorch 1.13.1+cu116
+- Datasets 2.10.0
+- Tokenizers 0.13.2