End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: microsoft/resnet-18
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: vit-finetuned2
+  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. -->
+
+# vit-finetuned2
+
+This model is a fine-tuned version of [microsoft/resnet-18](https://huggingface.co/microsoft/resnet-18) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8828
+- Accuracy: 0.746
+
+## 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: 0.0002
+- train_batch_size: 64
+- eval_batch_size: 128
+- seed: 42
+- optimizer: Use OptimizerNames.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: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 211  | 3.2058          | 0.2      |
+| No log        | 2.0   | 422  | 2.7863          | 0.27     |
+| 3.5109        | 3.0   | 633  | 2.6225          | 0.306    |
+| 3.5109        | 4.0   | 844  | 2.3383          | 0.392    |
+| 2.6956        | 5.0   | 1055 | 2.1045          | 0.456    |
+| 2.6956        | 6.0   | 1266 | 1.8551          | 0.504    |
+| 2.6956        | 7.0   | 1477 | 1.6949          | 0.54     |
+| 2.213         | 8.0   | 1688 | 1.5866          | 0.576    |
+| 2.213         | 9.0   | 1899 | 1.3373          | 0.646    |
+| 1.8406        | 10.0  | 2110 | 1.2958          | 0.64     |
+| 1.8406        | 11.0  | 2321 | 1.3066          | 0.652    |
+| 1.5618        | 12.0  | 2532 | 1.1972          | 0.664    |
+| 1.5618        | 13.0  | 2743 | 1.1654          | 0.67     |
+| 1.5618        | 14.0  | 2954 | 1.0900          | 0.7      |
+| 1.3308        | 15.0  | 3165 | 1.0244          | 0.704    |
+| 1.3308        | 16.0  | 3376 | 1.0534          | 0.706    |
+| 1.1426        | 17.0  | 3587 | 0.9758          | 0.732    |
+| 1.1426        | 18.0  | 3798 | 0.9583          | 0.716    |
+| 1.0085        | 19.0  | 4009 | 0.9191          | 0.732    |
+| 1.0085        | 20.0  | 4220 | 0.8828          | 0.746    |
+
+
+### Framework versions
+
+- Transformers 4.51.3
+- Pytorch 2.6.0+cu124
+- Datasets 3.6.0
+- Tokenizers 0.21.1

config.json

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+  ],
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+  "hidden_act": "relu",
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preprocessor_config.json

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