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End of training

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README.md ADDED
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+ ---
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+ license: other
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+ base_model: google/mobilenet_v2_1.0_224
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: ai_art_exp3_mobilenetv2
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # ai_art_exp3_mobilenetv2
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+
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+ 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.
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+ It achieves the following results on the evaluation set:
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+ - Accuracy: {'accuracy': 0.65}
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+ - Loss: 0.8813
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+ - Overall Accuracy: 0.65
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+ - Human Accuracy: 0.34
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+ - Ld Accuracy: 0.84
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+ - Sd Accuracy: 0.77
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 64
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 1
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Accuracy | Validation Loss | Overall Accuracy | Human Accuracy | Ld Accuracy | Sd Accuracy |
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+ |:-------------:|:-----:|:----:|:--------------------------------:|:---------------:|:----------------:|:--------------:|:-----------:|:-----------:|
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+ | 1.0707 | 0.96 | 18 | {'accuracy': 0.6333333333333333} | 0.8947 | 0.6333 | 0.3426 | 0.8485 | 0.7419 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.1
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.19.2
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+ - Tokenizers 0.19.1
runs/Jun03_23-24-37_790f22dcbc5f/events.out.tfevents.1717457099.790f22dcbc5f.821.1 ADDED
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+ size 578