End of training

README.md

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+---
+license: apache-2.0
+base_model: google/efficientnet-b3
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: ai_art_exp3_efficientnetb3
+  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. -->
+
+# ai_art_exp3_efficientnetb3
+
+This model is a fine-tuned version of [google/efficientnet-b3](https://huggingface.co/google/efficientnet-b3) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Accuracy: {'accuracy': 0.52}
+- Loss: 1.0214
+- Overall Accuracy: 0.52
+- Human Accuracy: 0.6
+- Ld Accuracy: 0.51
+- Sd Accuracy: 0.45
+
+## 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: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Accuracy                         | Validation Loss | Overall Accuracy | Human Accuracy | Ld Accuracy | Sd Accuracy |
+|:-------------:|:-----:|:----:|:--------------------------------:|:---------------:|:----------------:|:--------------:|:-----------:|:-----------:|
+| 1.0818        | 0.96  | 18   | {'accuracy': 0.5766666666666667} | 1.0049          | 0.5767           | 0.6019         | 0.6768      | 0.4409      |
+
+
+### Framework versions
+
+- Transformers 4.41.1
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.2
+- Tokenizers 0.19.1

runs/Jun03_23-25-19_29676f3ca8a5/events.out.tfevents.1717457166.29676f3ca8a5.926.1

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