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-base-multilingual-cased-finetuned-ner-4
+  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-base-multilingual-cased-finetuned-ner-4
+
+This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1027
+- Precision: 0.9830
+- Recall: 0.9832
+- F1: 0.9831
+- Accuracy: 0.9799
+
+## 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: 3e-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: 4
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.0658        | 1.0   | 6128  | 0.0751          | 0.9795    | 0.9795 | 0.9795 | 0.9758   |
+| 0.0406        | 2.0   | 12256 | 0.0753          | 0.9827    | 0.9815 | 0.9821 | 0.9786   |
+| 0.0182        | 3.0   | 18384 | 0.0934          | 0.9834    | 0.9825 | 0.9829 | 0.9796   |
+| 0.011         | 4.0   | 24512 | 0.1027          | 0.9830    | 0.9832 | 0.9831 | 0.9799   |
+
+
+### Framework versions
+
+- Transformers 4.16.2
+- Pytorch 1.10.0+cu111
+- Datasets 1.18.3
+- Tokenizers 0.11.0