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README.md
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---
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license: apache-2.0
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base_model: facebook/convnextv2-tiny-1k-224
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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: convnextv2-tiny-1k-224-finetuned-galaxy10-decals
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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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# convnextv2-tiny-1k-224-finetuned-galaxy10-decals
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This model is a fine-tuned version of [facebook/convnextv2-tiny-1k-224](https://huggingface.co/facebook/convnextv2-tiny-1k-224) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3980
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- Accuracy: 0.8647
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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: 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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| 1.0664 | 0.9978 | 112 | 0.9818 | 0.6725 |
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| 0.8019 | 1.9955 | 224 | 0.6333 | 0.7990 |
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| 0.6524 | 2.9933 | 336 | 0.5248 | 0.8341 |
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| 0.6339 | 4.0 | 449 | 0.4731 | 0.8447 |
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| 0.5178 | 4.9978 | 561 | 0.4537 | 0.8503 |
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| 0.5907 | 5.9955 | 673 | 0.4556 | 0.8472 |
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| 0.5292 | 6.9933 | 785 | 0.4169 | 0.8673 |
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| 0.5017 | 8.0 | 898 | 0.4107 | 0.8597 |
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| 0.4605 | 8.9978 | 1010 | 0.4062 | 0.8635 |
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| 0.4765 | 9.9777 | 1120 | 0.3980 | 0.8647 |
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### Framework versions
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- Transformers 4.40.0
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- Pytorch 2.2.1+cu121
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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model.safetensors
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