Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: google/vit-large-patch16-384
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: fashion-images-pack-types-vit-large-patch16-384-v1
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: default
+      split: train
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.991652754590985
+---
+
+<!-- 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-images-pack-types-vit-large-patch16-384-v1
+
+This model is a fine-tuned version of [google/vit-large-patch16-384](https://huggingface.co/google/vit-large-patch16-384) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0485
+- Accuracy: 0.9917
+
+## 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: 1337
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 5.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.0823        | 1.0   | 1697 | 0.0661          | 0.9837   |
+| 0.0197        | 2.0   | 3394 | 0.0900          | 0.9812   |
+| 0.015         | 3.0   | 5091 | 0.0446          | 0.9900   |
+| 0.0017        | 4.0   | 6788 | 0.0518          | 0.9912   |
+| 0.0           | 5.0   | 8485 | 0.0485          | 0.9917   |
+
+
+### Framework versions
+
+- Transformers 4.49.0
+- Pytorch 2.6.0+cu124
+- Datasets 3.3.2
+- Tokenizers 0.21.0

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