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Birdsclassification

Image Classification
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vit
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  1. README.md +79 -0
  2. model.safetensors +1 -1
  3. runs/Mar20_02-24-16_b27516841dd2/events.out.tfevents.1710901456.b27516841dd2.35.0 +2 -2
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: google/vit-base-patch16-224-in21k
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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: Birdsclassification
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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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+ # Birdsclassification
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+
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+ This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.3057
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+ - Accuracy: 0.9307
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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: 0.0003
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+ - train_batch_size: 64
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+ - eval_batch_size: 64
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 256
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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: 16
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 5.42 | 1.0 | 262 | 3.6698 | 0.7571 |
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+ | 1.7968 | 2.0 | 525 | 0.9179 | 0.8396 |
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+ | 0.6598 | 3.0 | 787 | 0.6370 | 0.8654 |
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+ | 0.4867 | 4.0 | 1050 | 0.5493 | 0.8765 |
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+ | 0.4055 | 5.0 | 1312 | 0.5093 | 0.8833 |
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+ | 0.3513 | 6.0 | 1575 | 0.4602 | 0.8892 |
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+ | 0.3053 | 7.0 | 1837 | 0.4350 | 0.8977 |
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+ | 0.2692 | 8.0 | 2100 | 0.4130 | 0.9021 |
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+ | 0.2446 | 9.0 | 2362 | 0.4218 | 0.9018 |
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+ | 0.2267 | 10.0 | 2625 | 0.3667 | 0.9130 |
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+ | 0.2018 | 11.0 | 2887 | 0.3632 | 0.9154 |
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+ | 0.1842 | 12.0 | 3150 | 0.3533 | 0.9154 |
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+ | 0.1636 | 13.0 | 3412 | 0.3396 | 0.9206 |
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+ | 0.1511 | 14.0 | 3675 | 0.3125 | 0.9266 |
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+ | 0.1411 | 15.0 | 3937 | 0.2833 | 0.9329 |
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+ | 0.1259 | 15.97 | 4192 | 0.3057 | 0.9307 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.38.2
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+ - Pytorch 2.1.2
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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