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End of training

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  1. README.md +14 -14
  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: 0.9120521172638436
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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
@@ -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: 0.3093
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- - Accuracy: 0.9121
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  ## Model description
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@@ -52,7 +52,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 0.0001
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  - train_batch_size: 17
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  - eval_batch_size: 17
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  - seed: 42
@@ -64,16 +64,16 @@ 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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- | 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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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.9332247557003257
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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: 0.2562
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+ - Accuracy: 0.9332
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 7e-05
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  - train_batch_size: 17
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  - eval_batch_size: 17
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 145 | 0.6864 | 0.8420 |
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+ | No log | 2.0 | 290 | 0.5780 | 0.8306 |
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+ | No log | 3.0 | 435 | 0.4466 | 0.8860 |
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+ | 0.7812 | 4.0 | 580 | 0.3810 | 0.8958 |
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+ | 0.7812 | 5.0 | 725 | 0.4124 | 0.8860 |
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+ | 0.7812 | 6.0 | 870 | 0.3617 | 0.9007 |
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+ | 0.3315 | 7.0 | 1015 | 0.3397 | 0.8990 |
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+ | 0.3315 | 8.0 | 1160 | 0.3746 | 0.9055 |
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+ | 0.3315 | 9.0 | 1305 | 0.3379 | 0.9023 |
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+ | 0.3315 | 10.0 | 1450 | 0.3825 | 0.8958 |
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  ### Framework versions
pytorch_model.bin CHANGED
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