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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: devout-voice-234
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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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# devout-voice-234
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This model is a fine-tuned version of [facebook/convnext-tiny-224](https://huggingface.co/facebook/convnext-tiny-224) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4823
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- Accuracy: 0.6195
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- Precision: 0.7580
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- Recall: 0.6195
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- F1: 0.6418
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- Roc Auc: 0.9108
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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: 0.0001
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- train_batch_size: 256
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- eval_batch_size: 256
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 40
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Roc Auc |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:-------:|
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| 1.3843 | 1.0 | 15 | 1.3708 | 0.2922 | 0.5011 | 0.2922 | 0.2957 | 0.6501 |
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| 1.3354 | 2.0 | 30 | 1.3256 | 0.5062 | 0.5231 | 0.5062 | 0.4827 | 0.7450 |
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| 1.2134 | 3.0 | 45 | 1.1394 | 0.5508 | 0.5749 | 0.5508 | 0.4751 | 0.7934 |
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| 1.0408 | 4.0 | 60 | 0.9792 | 0.5188 | 0.6137 | 0.5188 | 0.5357 | 0.8100 |
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| 0.881 | 5.0 | 75 | 0.6658 | 0.5508 | 0.5913 | 0.5508 | 0.5508 | 0.8320 |
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| 0.7118 | 6.0 | 90 | 0.6165 | 0.5086 | 0.6760 | 0.5086 | 0.5172 | 0.8318 |
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| 0.7556 | 7.0 | 105 | 0.5697 | 0.6070 | 0.6564 | 0.6070 | 0.6078 | 0.8671 |
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| 0.6212 | 8.0 | 120 | 0.5433 | 0.5664 | 0.7000 | 0.5664 | 0.5755 | 0.8680 |
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| 0.5591 | 9.0 | 135 | 0.4504 | 0.6797 | 0.7197 | 0.6797 | 0.6849 | 0.8983 |
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| 0.4785 | 10.0 | 150 | 0.4269 | 0.6727 | 0.7115 | 0.6727 | 0.6706 | 0.9120 |
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| 0.4093 | 11.0 | 165 | 0.4239 | 0.6742 | 0.7948 | 0.6742 | 0.6650 | 0.9345 |
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| 0.4033 | 12.0 | 180 | 0.4823 | 0.6195 | 0.7580 | 0.6195 | 0.6418 | 0.9108 |
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### Framework versions
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- Transformers 4.52.3
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- Pytorch 2.7.0+cpu
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- Datasets 3.6.0
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- Tokenizers 0.21.0
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