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--- |
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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: convnextv2-tiny-1k-224-finetuned-hand_class |
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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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# convnextv2-tiny-1k-224-finetuned-hand_class |
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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: 0.5260 |
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- Accuracy: 0.7739 |
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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: 64 |
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- eval_batch_size: 64 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 256 |
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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: 10 |
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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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| 0.663 | 1.0 | 14 | 0.5878 | 0.6809 | |
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| 0.5594 | 2.0 | 28 | 0.5597 | 0.7337 | |
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| 0.5364 | 3.0 | 42 | 0.5466 | 0.7412 | |
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| 0.545 | 4.0 | 56 | 0.5489 | 0.7462 | |
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| 0.5267 | 5.0 | 70 | 0.5484 | 0.7462 | |
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| 0.506 | 6.0 | 84 | 0.5320 | 0.7663 | |
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| 0.5196 | 7.0 | 98 | 0.5328 | 0.7638 | |
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| 0.4933 | 8.0 | 112 | 0.5293 | 0.7663 | |
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| 0.4809 | 9.0 | 126 | 0.5280 | 0.7739 | |
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| 0.4836 | 10.0 | 140 | 0.5260 | 0.7739 | |
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### Framework versions |
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- Transformers 4.33.0 |
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- Pytorch 2.0.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.13.3 |
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