End of training

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: custom-vgg19
+  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. -->
+
+# custom-vgg19
+
+This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3984
+- Accuracy: 0.9216
+
+## 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: 0.0001
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 13   | 0.5019          | 0.8235   |
+| No log        | 2.0   | 26   | 0.4287          | 0.9020   |
+| No log        | 3.0   | 39   | 0.4242          | 0.9020   |
+| No log        | 4.0   | 52   | 0.5184          | 0.8039   |
+| No log        | 5.0   | 65   | 0.4223          | 0.8824   |
+| No log        | 6.0   | 78   | 0.4254          | 0.8824   |
+| No log        | 7.0   | 91   | 0.4310          | 0.8824   |
+| No log        | 8.0   | 104  | 0.3984          | 0.9216   |
+| No log        | 9.0   | 117  | 0.4275          | 0.8824   |
+| No log        | 10.0  | 130  | 0.4264          | 0.8824   |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

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