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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: facebook/convnext-tiny-224 |
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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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- precision |
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- recall |
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- f1 |
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model-index: |
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- name: convnext-tiny-224-finetuned |
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results: [] |
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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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# convnext-tiny-224-finetuned |
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This model is a fine-tuned version of [facebook/convnext-tiny-224](https://huggingface.co/facebook/convnext-tiny-224) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9672 |
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- Accuracy: 0.6208 |
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- Precision: 0.5826 |
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- Recall: 0.6208 |
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- F1: 0.5945 |
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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: 5e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 128 |
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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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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:| |
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| 1.0428 | 0.9846 | 32 | 1.0478 | 0.6015 | 0.5745 | 0.6015 | 0.5679 | |
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| 0.9978 | 2.0 | 65 | 1.0032 | 0.6054 | 0.5653 | 0.6054 | 0.5762 | |
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| 0.9449 | 2.9846 | 97 | 0.9914 | 0.6035 | 0.5685 | 0.6035 | 0.5763 | |
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| 0.9432 | 4.0 | 130 | 0.9739 | 0.6141 | 0.5748 | 0.6141 | 0.5875 | |
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| 0.9196 | 4.9231 | 160 | 0.9672 | 0.6208 | 0.5826 | 0.6208 | 0.5945 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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