update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- clinc_oos
+model-index:
+- name: bert-base-uncased-fine-tuned-on-clinc_oos-dataset
+  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-uncased-fine-tuned-on-clinc_oos-dataset
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the clinc_oos dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2335
+- Accuracy Score: 0.9303
+- F1 Score: 0.9283
+
+## 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: 64
+- eval_batch_size: 64
+- 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 | Accuracy Score | F1 Score |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:--------:|
+| 4.4396        | 1.0   | 239  | 3.5490          | 0.6294         | 0.5939   |
+| 3.0058        | 2.0   | 478  | 2.3558          | 0.8616         | 0.8536   |
+| 2.0684        | 3.0   | 717  | 1.6714          | 0.9103         | 0.9075   |
+| 1.5411        | 4.0   | 956  | 1.3379          | 0.9255         | 0.9236   |
+| 1.3025        | 5.0   | 1195 | 1.2335          | 0.9303         | 0.9283   |
+
+
+### Framework versions
+
+- Transformers 4.20.1
+- Pytorch 1.11.0+cu113
+- Datasets 2.3.2
+- Tokenizers 0.12.1