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Alimuddin
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amazon_fish_classification

Image Classification
Transformers
PyTorch
convnext
Generated from Trainer
Eval Results (legacy)
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  1. README.md +13 -13
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.9218241042345277
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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
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/convnext-large-224-22k-1k](https://huggingface.co/facebook/convnext-large-224-22k-1k) on the amazonian_fish_classifier_data dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3360
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- - Accuracy: 0.9218
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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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- | No log | 1.0 | 145 | 0.7168 | 0.8143 |
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- | No log | 2.0 | 290 | 0.6045 | 0.8485 |
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- | No log | 3.0 | 435 | 0.5271 | 0.8648 |
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- | 0.7125 | 4.0 | 580 | 0.4560 | 0.8827 |
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- | 0.7125 | 5.0 | 725 | 0.4548 | 0.8876 |
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- | 0.7125 | 6.0 | 870 | 0.4480 | 0.8827 |
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- | 0.3229 | 7.0 | 1015 | 0.4314 | 0.9007 |
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- | 0.3229 | 8.0 | 1160 | 0.3855 | 0.9137 |
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- | 0.3229 | 9.0 | 1305 | 0.4026 | 0.9039 |
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- | 0.3229 | 10.0 | 1450 | 0.4106 | 0.8958 |
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  ### Framework versions
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.9120521172638436
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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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  This model is a fine-tuned version of [facebook/convnext-large-224-22k-1k](https://huggingface.co/facebook/convnext-large-224-22k-1k) on the amazonian_fish_classifier_data dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3093
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+ - Accuracy: 0.9121
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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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+ | No log | 1.0 | 145 | 0.8373 | 0.7655 |
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+ | No log | 2.0 | 290 | 0.6874 | 0.8160 |
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+ | No log | 3.0 | 435 | 0.5101 | 0.8502 |
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+ | 0.7333 | 4.0 | 580 | 0.4626 | 0.8762 |
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+ | 0.7333 | 5.0 | 725 | 0.4813 | 0.8648 |
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+ | 0.7333 | 6.0 | 870 | 0.4393 | 0.8795 |
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+ | 0.317 | 7.0 | 1015 | 0.3943 | 0.8925 |
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+ | 0.317 | 8.0 | 1160 | 0.3961 | 0.8909 |
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+ | 0.317 | 9.0 | 1305 | 0.3469 | 0.9039 |
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+ | 0.317 | 10.0 | 1450 | 0.3773 | 0.8893 |
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  ### Framework versions
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