End of training

README.md

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+---
+license: other
+base_model: google/mobilenet_v2_1.0_224
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: ai_art_exp1_mobilenet_v2
+  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_exp1_mobilenet_v2
+
+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:
+- Accuracy: {'accuracy': 0.9006666666666666}
+- Loss: 0.3842
+- Overall Accuracy: 0.9007
+- Human Accuracy: 0.852
+- Ld Accuracy: 0.984
+- Sd Accuracy: 0.866
+
+## 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 |
+|:-------------:|:-----:|:----:|:-------------------:|:---------------:|:----------------:|:--------------:|:-----------:|:-----------:|
+| 0.4082        | 0.992 | 93   | {'accuracy': 0.894} | 0.3844          | 0.894            | 0.8221         | 0.9847      | 0.8691      |
+
+
+### Framework versions
+
+- Transformers 4.41.0
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

runs/May22_09-59-31_3a63db6dee71/events.out.tfevents.1716372060.3a63db6dee71.2000.2

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