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--- |
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license: apache-2.0 |
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base_model: facebook/convnext-large-224-22k-1k |
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tags: |
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- generated_from_trainer |
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datasets: |
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- amazonian_fish_classifier_data |
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metrics: |
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- accuracy |
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model-index: |
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- name: image_classification |
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results: |
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- task: |
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name: Image Classification |
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type: image-classification |
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dataset: |
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name: amazonian_fish_classifier_data |
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type: amazonian_fish_classifier_data |
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config: default |
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split: train |
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args: default |
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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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should probably proofread and complete it, then remove this comment. --> |
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# image_classification |
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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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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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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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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 10 |
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### Training results |
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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 |
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- Transformers 4.33.3 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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