update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: bert-finetuned-protagonist
+  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-finetuned-protagonist
+
+This model is a fine-tuned version of [Davlan/bert-base-multilingual-cased-ner-hrl](https://huggingface.co/Davlan/bert-base-multilingual-cased-ner-hrl) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0745
+- Precision: 0.8392
+- Recall: 0.7767
+- F1: 0.8068
+- Accuracy: 0.9863
+
+## 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: 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   | 106  | 0.0695          | 0.8251    | 0.8558 | 0.8402 | 0.9870   |
+| No log        | 2.0   | 212  | 0.0667          | 0.8244    | 0.7860 | 0.8048 | 0.9857   |
+| No log        | 3.0   | 318  | 0.0624          | 0.86      | 0.8    | 0.8289 | 0.9870   |
+| No log        | 4.0   | 424  | 0.0698          | 0.8357    | 0.8047 | 0.8199 | 0.9867   |
+| 0.0074        | 5.0   | 530  | 0.0745          | 0.8392    | 0.7767 | 0.8068 | 0.9863   |
+
+
+### Framework versions
+
+- Transformers 4.18.0
+- Pytorch 1.11.0+cu113
+- Datasets 2.1.0
+- Tokenizers 0.12.1