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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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- image-classification |
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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: akram-convNeXt-flipkarts |
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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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# akram-convNeXt-flipkarts |
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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 flipkarts_images dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4581 |
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- Accuracy: 0.8734 |
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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: 0.0002 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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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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- num_epochs: 4 |
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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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| 0.3777 | 0.57 | 32 | 0.5409 | 0.8228 | |
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| 0.131 | 1.14 | 64 | 0.5633 | 0.8418 | |
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| 0.1426 | 1.71 | 96 | 0.5171 | 0.8291 | |
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| 0.2413 | 2.29 | 128 | 0.4775 | 0.8608 | |
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| 0.1852 | 2.86 | 160 | 0.4648 | 0.8608 | |
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| 0.2165 | 3.43 | 192 | 0.4581 | 0.8734 | |
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| 0.1529 | 4.0 | 224 | 0.4617 | 0.8734 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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