End of training

README.md

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+---
+license: apache-2.0
+base_model: google/vit-base-patch16-224-in21k
+tags:
+- generated_from_trainer
+datasets:
+- pokemon-classification
+metrics:
+- accuracy
+model-index:
+- name: pokemon_class_model
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: pokemon-classification
+      type: pokemon-classification
+      config: full
+      split: train
+      args: full
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.8439425051334702
+---
+
+<!-- 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. -->
+
+# pokemon_class_model
+
+This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the pokemon-classification dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.7799
+- Accuracy: 0.8439
+
+## 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: 5e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 4.871         | 1.0   | 61   | 4.8286          | 0.1129   |
+| 4.4362        | 2.0   | 122  | 4.3949          | 0.5626   |
+| 3.9543        | 3.0   | 183  | 3.9551          | 0.7238   |
+| 3.5859        | 4.0   | 244  | 3.6081          | 0.7772   |
+| 3.2793        | 5.0   | 305  | 3.3454          | 0.8049   |
+| 3.0146        | 6.0   | 366  | 3.1411          | 0.8152   |
+| 2.8492        | 7.0   | 427  | 2.9854          | 0.8347   |
+| 2.6706        | 8.0   | 488  | 2.8625          | 0.8501   |
+| 2.5676        | 9.0   | 549  | 2.8014          | 0.8337   |
+| 2.6059        | 10.0  | 610  | 2.7799          | 0.8439   |
+
+
+### Framework versions
+
+- Transformers 4.36.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.15.0
+- Tokenizers 0.15.0

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