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--- |
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license: apache-2.0 |
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base_model: juniorjukeko/img_class_beans |
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tags: |
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- generated_from_trainer |
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datasets: |
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- beans |
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metrics: |
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- accuracy |
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model-index: |
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- name: img_class_beans |
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results: |
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- task: |
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name: Image Classification |
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type: image-classification |
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dataset: |
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name: beans |
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type: beans |
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config: default |
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split: train |
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args: default |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.972972972972973 |
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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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# img_class_beans |
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This model is a fine-tuned version of [juniorjukeko/img_class_beans](https://huggingface.co/juniorjukeko/img_class_beans) on the beans dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1220 |
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- Accuracy: 0.9730 |
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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: 16 |
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- eval_batch_size: 16 |
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- seed: 143 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 64 |
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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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| 0.1122 | 0.98 | 12 | 0.1660 | 0.9575 | |
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| 0.1356 | 1.96 | 24 | 0.1977 | 0.9421 | |
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| 0.0889 | 2.94 | 36 | 0.1504 | 0.9421 | |
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| 0.0793 | 4.0 | 49 | 0.1477 | 0.9575 | |
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| 0.0578 | 4.98 | 61 | 0.1320 | 0.9653 | |
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| 0.0514 | 5.96 | 73 | 0.1163 | 0.9730 | |
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| 0.0592 | 6.94 | 85 | 0.1363 | 0.9653 | |
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| 0.0532 | 8.0 | 98 | 0.1837 | 0.9382 | |
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| 0.0555 | 8.98 | 110 | 0.1400 | 0.9614 | |
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| 0.0723 | 9.8 | 120 | 0.1220 | 0.9730 | |
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### Framework versions |
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- Transformers 4.33.2 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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