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README.md
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---
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license: apache-2.0
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base_model: microsoft/cvt-13
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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: cvt-13-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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# cvt-13-finetuned-eurosat
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This model is a fine-tuned version of [microsoft/cvt-13](https://huggingface.co/microsoft/cvt-13) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.4821
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- Accuracy: 0.3846
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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: 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: 3
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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 | 0.8421 | 4 | 1.6279 | 0.1923 |
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| No log | 1.8947 | 9 | 1.5128 | 0.3462 |
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| 1.5802 | 2.5263 | 12 | 1.4821 | 0.3846 |
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### Framework versions
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- Transformers 4.40.2
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- Pytorch 2.4.0+cu121
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- Datasets 3.0.0
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- Tokenizers 0.19.1
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model.safetensors
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runs/Sep11_20-24-04_60c62fece28f/events.out.tfevents.1726086255.60c62fece28f.7765.4
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