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: image_classification
+  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. -->
+
+# image_classification
+
+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: 1.5394
+- Accuracy: 0.4813
+
+## 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: 1e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 64
+- 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
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 40
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 8.2876        | 1.0   | 10   | 2.0733          | 0.1375   |
+| 8.2701        | 2.0   | 20   | 2.0678          | 0.15     |
+| 8.2385        | 3.0   | 30   | 2.0564          | 0.1875   |
+| 8.1938        | 4.0   | 40   | 2.0484          | 0.2188   |
+| 8.1243        | 5.0   | 50   | 2.0263          | 0.2437   |
+| 8.043         | 6.0   | 60   | 2.0065          | 0.2812   |
+| 7.9327        | 7.0   | 70   | 1.9940          | 0.275    |
+| 7.7842        | 8.0   | 80   | 1.9588          | 0.3438   |
+| 7.6389        | 9.0   | 90   | 1.9299          | 0.3125   |
+| 7.4825        | 10.0  | 100  | 1.8830          | 0.4      |
+| 7.3337        | 11.0  | 110  | 1.8519          | 0.35     |
+| 7.1512        | 12.0  | 120  | 1.8171          | 0.4188   |
+| 7.0169        | 13.0  | 130  | 1.7624          | 0.4188   |
+| 6.8618        | 14.0  | 140  | 1.7341          | 0.45     |
+| 6.7244        | 15.0  | 150  | 1.6903          | 0.45     |
+| 6.5857        | 16.0  | 160  | 1.6709          | 0.4688   |
+| 6.4774        | 17.0  | 170  | 1.6624          | 0.425    |
+| 6.3616        | 18.0  | 180  | 1.6314          | 0.4437   |
+| 6.2635        | 19.0  | 190  | 1.6173          | 0.4437   |
+| 6.1831        | 20.0  | 200  | 1.5929          | 0.4938   |
+| 6.1224        | 21.0  | 210  | 1.5841          | 0.45     |
+| 6.0711        | 22.0  | 220  | 1.5622          | 0.4625   |
+| 5.9769        | 23.0  | 230  | 1.5617          | 0.5062   |
+| 5.9176        | 24.0  | 240  | 1.5491          | 0.4813   |
+| 5.8776        | 25.0  | 250  | 1.5262          | 0.5687   |
+| 5.8347        | 26.0  | 260  | 1.5287          | 0.4875   |
+| 5.781         | 27.0  | 270  | 1.5284          | 0.4625   |
+| 5.7451        | 28.0  | 280  | 1.5018          | 0.4875   |
+| 5.6745        | 29.0  | 290  | 1.5057          | 0.4875   |
+| 5.6253        | 30.0  | 300  | 1.5090          | 0.4938   |
+| 5.6111        | 31.0  | 310  | 1.5275          | 0.4688   |
+| 5.5742        | 32.0  | 320  | 1.5008          | 0.525    |
+| 5.5516        | 33.0  | 330  | 1.4795          | 0.5188   |
+| 5.4796        | 34.0  | 340  | 1.4834          | 0.5062   |
+| 5.4958        | 35.0  | 350  | 1.4916          | 0.5125   |
+| 5.4824        | 36.0  | 360  | 1.4925          | 0.4938   |
+| 5.4659        | 37.0  | 370  | 1.4847          | 0.5062   |
+| 5.4715        | 38.0  | 380  | 1.4670          | 0.5      |
+| 5.4735        | 39.0  | 390  | 1.4733          | 0.525    |
+| 5.4789        | 40.0  | 400  | 1.4881          | 0.4813   |
+
+
+### Framework versions
+
+- Transformers 4.47.1
+- Pytorch 2.5.1+cu121
+- Tokenizers 0.21.0

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