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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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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: 0.9429 |
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- Logloss: 0.9429 |
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- Accuracy: {'accuracy': 0.6371511068334937} |
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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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Logloss | Accuracy | |
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|:-------------:|:------:|:----:|:---------------:|:-------:|:--------------------------------:| |
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| 1.4538 | 0.9846 | 32 | 1.3816 | 1.3816 | {'accuracy': 0.4475457170356112} | |
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| 1.2257 | 2.0 | 65 | 1.1411 | 1.1411 | {'accuracy': 0.5668912415784408} | |
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| 1.0432 | 2.9846 | 97 | 1.0302 | 1.0302 | {'accuracy': 0.6034648700673725} | |
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| 1.0002 | 4.0 | 130 | 0.9979 | 0.9979 | {'accuracy': 0.615014436958614} | |
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| 0.9492 | 4.9846 | 162 | 0.9781 | 0.9781 | {'accuracy': 0.631376323387873} | |
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| 0.9302 | 6.0 | 195 | 0.9664 | 0.9664 | {'accuracy': 0.629451395572666} | |
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| 0.8805 | 6.9846 | 227 | 0.9515 | 0.9515 | {'accuracy': 0.6371511068334937} | |
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| 0.852 | 8.0 | 260 | 0.9504 | 0.9504 | {'accuracy': 0.6256015399422522} | |
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| 0.8352 | 8.9846 | 292 | 0.9468 | 0.9468 | {'accuracy': 0.6371511068334937} | |
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| 0.8245 | 9.8462 | 320 | 0.9429 | 0.9429 | {'accuracy': 0.6371511068334937} | |
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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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