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README.md ADDED
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+ ---
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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: Main_Fashion-convnext
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+ results: []
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+ ---
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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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+
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+ # Main_Fashion-convnext
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+
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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: 1.1758
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+ - Accuracy: 0.6381
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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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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+
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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: 12
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-------:|:----:|:---------------:|:--------:|
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+ | 2.0951 | 0.9630 | 13 | 2.0201 | 0.2251 |
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+ | 1.9821 | 2.0 | 27 | 1.8213 | 0.4037 |
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+ | 1.7245 | 2.9630 | 40 | 1.6774 | 0.4640 |
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+ | 1.6117 | 4.0 | 54 | 1.5480 | 0.5452 |
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+ | 1.5 | 4.9630 | 67 | 1.4506 | 0.5615 |
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+ | 1.3393 | 6.0 | 81 | 1.3610 | 0.5963 |
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+ | 1.2579 | 6.9630 | 94 | 1.2995 | 0.6172 |
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+ | 1.2405 | 8.0 | 108 | 1.2480 | 0.6288 |
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+ | 1.1479 | 8.9630 | 121 | 1.2127 | 0.6357 |
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+ | 1.1005 | 10.0 | 135 | 1.1898 | 0.6381 |
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+ | 1.0989 | 10.9630 | 148 | 1.1778 | 0.6381 |
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+ | 1.0816 | 11.5556 | 156 | 1.1758 | 0.6381 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.40.1
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.19.0
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+ - Tokenizers 0.19.1
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