End of training

README.md

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+---
+library_name: transformers
+license: other
+base_model: google/mobilenet_v2_1.0_224
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: results
+  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. -->
+
+# results
+
+This model is a fine-tuned version of [google/mobilenet_v2_1.0_224](https://huggingface.co/google/mobilenet_v2_1.0_224) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0019
+- Accuracy: 0.7151
+
+## 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: 0.00023769336048631227
+- train_batch_size: 32
+- eval_batch_size: 8
+- 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: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.2354        | 1.0   | 1563 | 1.0944          | 0.7300   |
+| 0.8403        | 2.0   | 3126 | 1.0387          | 0.7400   |
+| 0.5246        | 3.0   | 4689 | 0.9588          | 0.7400   |
+| 0.3101        | 4.0   | 6252 | 0.9053          | 0.7300   |
+| 0.1642        | 5.0   | 7815 | 0.9296          | 0.7300   |
+
+
+### Framework versions
+
+- Transformers 4.51.3
+- Pytorch 2.6.0+cu124
+- Datasets 3.5.1
+- Tokenizers 0.21.1

config.json

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+}

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