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--- |
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license: apache-2.0 |
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base_model: MF21377197/resnet-50-finetuned-eurosat |
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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: resnet-50-finetuned-eurosat |
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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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# resnet-50-finetuned-eurosat |
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This model is a fine-tuned version of [MF21377197/resnet-50-finetuned-eurosat](https://huggingface.co/MF21377197/resnet-50-finetuned-eurosat) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 21.6578 |
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- Accuracy: 0.5284 |
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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: 1e-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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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 128 |
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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: 12 |
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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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| 19.4471 | 1.0 | 351 | 25.2381 | 0.4514 | |
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| 14.378 | 2.0 | 703 | 24.5923 | 0.4594 | |
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| 20.7257 | 3.0 | 1055 | 24.3360 | 0.4706 | |
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| 23.0579 | 4.0 | 1407 | 17.9277 | 0.479 | |
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| 16.7616 | 5.0 | 1758 | 24.0013 | 0.4808 | |
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| 13.2407 | 6.0 | 2110 | 16.8144 | 0.4888 | |
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| 12.5439 | 7.0 | 2462 | 10.8161 | 0.496 | |
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| 10.301 | 8.0 | 2814 | 14.1573 | 0.5066 | |
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| 18.2068 | 9.0 | 3165 | 15.7831 | 0.5054 | |
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| 5.7088 | 10.0 | 3517 | 14.3309 | 0.512 | |
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| 18.9725 | 11.0 | 3869 | 21.6578 | 0.5284 | |
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| 16.9049 | 11.97 | 4212 | 12.9670 | 0.5204 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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