update model card README.md

README.md

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+---
+license: apache-2.0
+base_model: bert-base-uncased
+tags:
+- generated_from_trainer
+model-index:
+- name: bert-base-uncased
+  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
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1434
+- F1 Score: 0.9670
+
+## 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 | F1 Score |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.0991        | 1.0   | 873  | 0.1463          | 0.9619   |
+| 0.0529        | 2.0   | 1746 | 0.1434          | 0.9670   |
+| 0.0216        | 3.0   | 2619 | 0.1762          | 0.9659   |
+| 0.0126        | 4.0   | 3492 | 0.2089          | 0.9652   |
+| 0.0065        | 5.0   | 4365 | 0.2178          | 0.9628   |
+| 0.0047        | 6.0   | 5238 | 0.2370          | 0.9652   |
+| 0.0062        | 7.0   | 6111 | 0.2190          | 0.9668   |
+| 0.0042        | 8.0   | 6984 | 0.2303          | 0.9666   |
+| 0.0035        | 9.0   | 7857 | 0.2406          | 0.9682   |
+| 0.0011        | 10.0  | 8730 | 0.2422          | 0.9687   |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.0.0
+- Datasets 2.1.0
+- Tokenizers 0.13.3