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panda992
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fish_disease_datasets

Image Classification
Transformers
TensorBoard
Safetensors
vit
vision-transformer
aquaculture
fish-disease
Generated from Trainer
Eval Results (legacy)
Model card Files
xet
 Metrics Community
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  1. README.md +8 -9
  2. model.safetensors +1 -1
  3. runs/May29_06-11-43_24e856c6c156/events.out.tfevents.1748499123.24e856c6c156.378.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -3,7 +3,6 @@ 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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- - image-classification
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  - generated_from_trainer
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  metrics:
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  - accuracy
@@ -17,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
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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 the fish_disease_datasets dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0704
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- - Accuracy: 0.9810
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  ## Model description
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@@ -52,11 +51,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|
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- | 0.4357 | 0.7634 | 100 | 0.3209 | 0.9375 |
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- | 0.1859 | 1.5267 | 200 | 0.1352 | 0.9701 |
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- | 0.0641 | 2.2901 | 300 | 0.0906 | 0.9783 |
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- | 0.0202 | 3.0534 | 400 | 0.1027 | 0.9755 |
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- | 0.0352 | 3.8168 | 500 | 0.0704 | 0.9810 |
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  ### Framework versions
 
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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: 0.0866
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+ - Accuracy: 0.9728
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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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+ | 0.3865 | 0.7634 | 100 | 0.4161 | 0.8913 |
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+ | 0.1206 | 1.5267 | 200 | 0.2170 | 0.9457 |
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+ | 0.1132 | 2.2901 | 300 | 0.1317 | 0.9674 |
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+ | 0.0547 | 3.0534 | 400 | 0.0879 | 0.9810 |
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+ | 0.0209 | 3.8168 | 500 | 0.0866 | 0.9728 |
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  ### Framework versions
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