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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: google/vit-base-patch16-224-in21k |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: clothing-multilabel |
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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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# clothing-multilabel |
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This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3360 |
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- Exact Match Accuracy: 0.7919 |
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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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- 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: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Exact Match Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------------------:| |
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| 0.2955 | 1.0 | 1864 | 0.2995 | 0.7884 | |
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| 0.228 | 2.0 | 3728 | 0.2937 | 0.7958 | |
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| 0.117 | 3.0 | 5592 | 0.3360 | 0.7919 | |
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### Framework versions |
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- Transformers 4.52.3 |
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- Pytorch 2.7.0+cu126 |
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- Datasets 3.6.0 |
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- Tokenizers 0.21.1 |
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