End of training
Browse files
README.md
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This model is a fine-tuned version of [scratch](https://huggingface.co/scratch) on the mnist dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.
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| 0.
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| 0.0243 | 5.0 | 2110 | 0.
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### Framework versions
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This model is a fine-tuned version of [scratch](https://huggingface.co/scratch) on the mnist dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0182
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- Accuracy: 0.9945
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.0687 | 1.0 | 422 | 0.0511 | 0.9852 |
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| 0.0453 | 2.0 | 844 | 0.0360 | 0.9883 |
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| 0.0393 | 3.0 | 1266 | 0.0295 | 0.9907 |
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| 0.0297 | 4.0 | 1688 | 0.0284 | 0.9915 |
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| 0.0243 | 5.0 | 2110 | 0.0267 | 0.992 |
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### Framework versions
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model.safetensors
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preprocessor_config.json
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{
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"crop_size": {
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"height": 224,
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"width": 224
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"do_center_crop": true,
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"do_convert_rgb": true,
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"do_normalize": true,
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"do_rescale": true,
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"do_resize": true,
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"image_mean": [
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0.40821073
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],
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"image_processor_type": "CLIPFeatureExtractor",
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"image_std": [
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0.26862954,
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0.26130258,
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0.27577711
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"resample": 3,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"shortest_edge": 224
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}
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}
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runs/Apr29_14-40-35_ip-10-192-12-206/events.out.tfevents.1745937635.ip-10-192-12-206.137877.0
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runs/Apr29_14-40-35_ip-10-192-12-206/events.out.tfevents.1745937902.ip-10-192-12-206.137877.1
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training_args.bin
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