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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: facebook/convnext-tiny-224 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- imagefolder |
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metrics: |
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- accuracy |
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model-index: |
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- name: convnext-tiny-224-afinaopalcaxarro |
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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: imagefolder |
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type: imagefolder |
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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: 0.8623853211009175 |
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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-224-afinaopalcaxarro |
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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 imagefolder dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7981 |
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- Accuracy: 0.8624 |
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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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| No log | 1.0 | 8 | 2.2682 | 0.3383 | |
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| 2.3684 | 2.0 | 16 | 1.9344 | 0.6869 | |
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| 2.0258 | 3.0 | 24 | 1.6364 | 0.7901 | |
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| 1.6828 | 4.0 | 32 | 1.3840 | 0.8165 | |
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| 1.3866 | 5.0 | 40 | 1.1854 | 0.8222 | |
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| 1.3866 | 6.0 | 48 | 1.0353 | 0.8337 | |
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| 1.1679 | 7.0 | 56 | 0.9255 | 0.8521 | |
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| 1.021 | 8.0 | 64 | 0.8538 | 0.8567 | |
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| 0.9338 | 9.0 | 72 | 0.8123 | 0.8612 | |
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| 0.8718 | 10.0 | 80 | 0.7981 | 0.8624 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.19.1 |
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