End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: google/vit-base-patch16-224-in21k
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: fashion_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. -->
+
+# fashion_classifier
+
+This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8857
+- Accuracy: 0.8018
+
+## 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 |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 2.2283        | 0.9882 | 21   | 2.1148          | 0.4852   |
+| 1.853         | 1.9765 | 42   | 1.6702          | 0.7249   |
+| 1.4363        | 2.9647 | 63   | 1.3298          | 0.7367   |
+| 1.1618        | 4.0    | 85   | 1.1528          | 0.7604   |
+| 0.9739        | 4.9882 | 106  | 1.0281          | 0.7811   |
+| 0.8778        | 5.9765 | 127  | 0.9325          | 0.7929   |
+| 0.8114        | 6.9647 | 148  | 0.9100          | 0.8136   |
+| 0.7626        | 8.0    | 170  | 0.9288          | 0.7633   |
+| 0.691         | 8.9882 | 191  | 0.9058          | 0.7870   |
+| 0.6988        | 9.8824 | 210  | 0.8857          | 0.8018   |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.5.0+cu121
+- Datasets 3.0.2
+- Tokenizers 0.19.1

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