update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: classifier
+  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. -->
+
+# classifier
+
+This model was trained from scratch on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0197
+- Accuracy: 0.8095
+
+## 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: 2
+- eval_batch_size: 2
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 6
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 374  | 1.2216          | 0.6905   |
+| 1.6471        | 2.0   | 748  | 0.8738          | 0.7857   |
+| 0.6591        | 3.0   | 1122 | 0.8361          | 0.7857   |
+| 0.6591        | 4.0   | 1496 | 0.9271          | 0.7738   |
+| 0.3013        | 5.0   | 1870 | 1.0054          | 0.7976   |
+| 0.1565        | 6.0   | 2244 | 1.0197          | 0.8095   |
+
+
+### Framework versions
+
+- Transformers 4.25.1
+- Pytorch 1.13.1
+- Datasets 2.8.0
+- Tokenizers 0.13.2