Model save
Browse files- README.md +12 -12
- config.json +1 -1
- model.safetensors +1 -1
- runs/May22_05-46-42_32dbd7354e1a/events.out.tfevents.1747892831.32dbd7354e1a.24930.0 +3 -0
- training_args.bin +2 -2
README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model:
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tags:
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- image-classification
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- generated_from_trainer
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metrics:
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- accuracy
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# fish_disease_datasets
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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### Framework versions
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- Transformers 4.
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- Pytorch 2.
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- Tokenizers 0.21.1
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---
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library_name: transformers
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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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# fish_disease_datasets
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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: 0.0643
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- Accuracy: 0.9864
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:------:|:----:|:---------------:|:--------:|
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| 0.3988 | 0.7634 | 100 | 0.3312 | 0.9457 |
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| 0.1719 | 1.5267 | 200 | 0.1810 | 0.9620 |
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| 0.0527 | 2.2901 | 300 | 0.1292 | 0.9647 |
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| 0.0559 | 3.0534 | 400 | 0.0772 | 0.9810 |
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| 0.0413 | 3.8168 | 500 | 0.0643 | 0.9864 |
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### Framework versions
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- Transformers 4.52.2
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- Pytorch 2.7.0+cu126
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- Datasets 3.6.0
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- Tokenizers 0.21.1
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config.json
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"problem_type": "single_label_classification",
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"qkv_bias": true,
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"torch_dtype": "float32",
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"transformers_version": "4.
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}
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"problem_type": "single_label_classification",
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"qkv_bias": true,
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"torch_dtype": "float32",
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"transformers_version": "4.52.2"
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}
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model.safetensors
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runs/May22_05-46-42_32dbd7354e1a/events.out.tfevents.1747892831.32dbd7354e1a.24930.0
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training_args.bin
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size
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size 5713
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