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--- |
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license: apache-2.0 |
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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: convnext-tiny-finetuned-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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args: default |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.9609375 |
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- task: |
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type: image-classification |
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name: 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: test |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.9609375 |
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verified: true |
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- name: Precision Macro |
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type: precision |
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value: 0.9652777777777778 |
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verified: true |
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- name: Precision Micro |
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type: precision |
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value: 0.9609375 |
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verified: true |
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- name: Precision Weighted |
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type: precision |
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value: 0.9650065104166667 |
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verified: true |
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- name: Recall Macro |
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type: recall |
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value: 0.9608711701734958 |
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verified: true |
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- name: Recall Micro |
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type: recall |
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value: 0.9609375 |
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verified: true |
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- name: Recall Weighted |
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type: recall |
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value: 0.9609375 |
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verified: true |
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- name: F1 Macro |
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type: f1 |
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value: 0.9615067076130842 |
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verified: true |
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- name: F1 Micro |
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type: f1 |
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value: 0.9609375 |
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verified: true |
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- name: F1 Weighted |
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type: f1 |
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value: 0.9613965275467993 |
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verified: true |
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- name: loss |
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type: loss |
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value: 0.14331591129302979 |
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verified: true |
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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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# convnext-tiny-finetuned-beans |
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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 beans dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1255 |
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- Accuracy: 0.9609 |
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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: 7171 |
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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: 5 |
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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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| No log | 1.0 | 37 | 0.6175 | 0.8828 | |
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| No log | 2.0 | 74 | 0.2307 | 0.9609 | |
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| 0.5237 | 3.0 | 111 | 0.1406 | 0.9531 | |
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| 0.5237 | 4.0 | 148 | 0.1165 | 0.9688 | |
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| 0.5237 | 5.0 | 185 | 0.1255 | 0.9609 | |
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### Framework versions |
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- Transformers 4.18.0 |
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- Pytorch 1.10.0+cu111 |
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- Datasets 2.1.0 |
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- Tokenizers 0.12.1 |
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