update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: vit-base-patch16-224-in21k
+  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. -->
+
+# vit-base-patch16-224-in21k
+
+This model was trained from scratch on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7768
+- F1: 0.9731
+
+## 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: 48
+- eval_batch_size: 48
+- 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     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| No log        | 1.0   | 10   | 1.5847          | 0.6436 |
+| No log        | 2.0   | 20   | 1.4142          | 0.8317 |
+| No log        | 3.0   | 30   | 1.2697          | 0.8776 |
+| No log        | 4.0   | 40   | 1.1362          | 0.8844 |
+| No log        | 5.0   | 50   | 1.0227          | 0.9256 |
+| No log        | 6.0   | 60   | 0.9298          | 0.9390 |
+| No log        | 7.0   | 70   | 0.8625          | 0.9461 |
+| No log        | 8.0   | 80   | 0.8154          | 0.9662 |
+| No log        | 9.0   | 90   | 0.7877          | 0.9731 |
+| No log        | 10.0  | 100  | 0.7768          | 0.9731 |
+
+
+### Framework versions
+
+- Transformers 4.30.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.13.1
+- Tokenizers 0.13.3