update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: bert-base-uncased-finetuned-0505-2
+  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-finetuned-0505-2
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4277
+- Accuracy: 0.9206
+- F1: 0.9205
+
+## 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: 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 | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| No log        | 1.0   | 1373 | 0.3634          | 0.9025   | 0.9012 |
+| No log        | 2.0   | 2746 | 0.3648          | 0.9066   | 0.9060 |
+| No log        | 3.0   | 4119 | 0.3978          | 0.9189   | 0.9183 |
+| No log        | 4.0   | 5492 | 0.4277          | 0.9206   | 0.9205 |
+
+
+### Framework versions
+
+- Transformers 4.11.3
+- Pytorch 1.9.0
+- Datasets 1.16.1
+- Tokenizers 0.10.3