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: stripes
+  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. -->
+
+# stripes
+
+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: 0.2177
+- Accuracy: 0.9194
+
+## 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 |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| No log        | 0.9032 | 7    | 0.6456          | 0.7742   |
+| 0.6684        | 1.9355 | 15   | 0.4995          | 0.8629   |
+| 0.4818        | 2.9677 | 23   | 0.3788          | 0.8629   |
+| 0.3026        | 4.0    | 31   | 0.2881          | 0.9113   |
+| 0.3026        | 4.9032 | 38   | 0.2530          | 0.9032   |
+| 0.1806        | 5.9355 | 46   | 0.2359          | 0.9194   |
+| 0.1161        | 6.9677 | 54   | 0.2288          | 0.9194   |
+| 0.0894        | 8.0    | 62   | 0.2043          | 0.9435   |
+| 0.0894        | 8.9032 | 69   | 0.2042          | 0.9355   |
+| 0.0723        | 9.0323 | 70   | 0.2177          | 0.9194   |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.5.0+cu121
+- Datasets 3.1.0
+- Tokenizers 0.19.1

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