update model card README.md

README.md

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 ---
 license: apache-2.0
+tags:
+- generated_from_trainer
+model-index:
+- name: fine-tune-vanilla-bert-base-uncased-ch9
+  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. -->
+
+# fine-tune-vanilla-bert-base-uncased-ch9
+
+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: 0.1877
+- Micro f1: 0.7208
+- Macro f1: 0.6293
+
+## 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: 4
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: constant
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Micro f1 | Macro f1 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
+| 0.4535        | 1.0   | 56   | 0.3607          | 0.0      | 0.0      |
+| 0.3388        | 2.0   | 112  | 0.3270          | 0.0      | 0.0      |
+| 0.3023        | 3.0   | 168  | 0.2794          | 0.4654   | 0.2139   |
+| 0.2515        | 4.0   | 224  | 0.2420          | 0.4750   | 0.1855   |
+| 0.2095        | 5.0   | 280  | 0.2263          | 0.5318   | 0.2599   |
+| 0.1673        | 6.0   | 336  | 0.2135          | 0.6429   | 0.4327   |
+| 0.1424        | 7.0   | 392  | 0.1885          | 0.6631   | 0.4890   |
+| 0.1049        | 8.0   | 448  | 0.1801          | 0.7164   | 0.6139   |
+| 0.08          | 9.0   | 504  | 0.1802          | 0.7136   | 0.6020   |
+| 0.0637        | 10.0  | 560  | 0.1877          | 0.7208   | 0.6293   |
+
+
+### Framework versions
+
+- Transformers 4.16.2
+- Pytorch 2.1.0+cu118
+- Datasets 1.16.1
+- Tokenizers 0.15.0