| ---
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| library_name: transformers
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| license: apache-2.0
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| base_model: facebook/convnextv2-tiny-1k-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: swept-brook-197
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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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|
|
| # swept-brook-197
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|
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| This model is a fine-tuned version of [facebook/convnextv2-tiny-1k-224](https://huggingface.co/facebook/convnextv2-tiny-1k-224) on an unknown dataset.
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| It achieves the following results on the evaluation set:
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| - Loss: 0.6066
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| - Accuracy: 0.7402
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|
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| ## Model description
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| More information needed
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|
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| ## Intended uses & limitations
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| More information needed
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|
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| ## Training and evaluation data
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| More information needed
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|
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| ## Training procedure
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|
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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: 15
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|
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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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| | 1.1424 | 1.0 | 18 | 0.9758 | 0.5527 |
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| | 0.937 | 2.0 | 36 | 0.8802 | 0.5488 |
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| | 0.9044 | 3.0 | 54 | 0.9013 | 0.5215 |
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| | 0.8604 | 4.0 | 72 | 0.8435 | 0.5781 |
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| | 0.8388 | 5.0 | 90 | 0.8415 | 0.5859 |
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| | 0.8287 | 6.0 | 108 | 0.9338 | 0.5098 |
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| | 0.8042 | 7.0 | 126 | 0.7766 | 0.6152 |
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| | 0.7452 | 8.0 | 144 | 0.7439 | 0.6328 |
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| | 0.701 | 9.0 | 162 | 0.7072 | 0.6543 |
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| | 0.6725 | 10.0 | 180 | 0.6605 | 0.7070 |
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| | 0.6326 | 11.0 | 198 | 0.6436 | 0.7012 |
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| | 0.6066 | 12.0 | 216 | 0.6437 | 0.7129 |
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| | 0.5878 | 13.0 | 234 | 0.6104 | 0.7461 |
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| | 0.5813 | 14.0 | 252 | 0.6086 | 0.7344 |
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| | 0.5753 | 15.0 | 270 | 0.6066 | 0.7402 |
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| ### Framework versions
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|
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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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| |
