update model card README.md

README.md

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+---
+license: apache-2.0
+base_model: bert-base-cased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: bert-action-ro
+  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-action-ro
+
+This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1567
+- Accuracy: 0.958
+- Precision: 0.949
+- Recall: 0.941
+- F1: 0.944
+
+## 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: 64
+- eval_batch_size: 128
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1    |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:-----:|
+| No log        | 1.0   | 89   | 0.3700          | 0.876    | 0.836     | 0.809  | 0.815 |
+| No log        | 2.0   | 178  | 0.2057          | 0.936    | 0.927     | 0.924  | 0.924 |
+| No log        | 3.0   | 267  | 0.1567          | 0.958    | 0.949     | 0.941  | 0.944 |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.0
+- Tokenizers 0.13.3