Model save
Browse files- README.md +12 -4
- model.safetensors +1 -1
- preprocessor_config.json +33 -0
- training_args.bin +1 -1
README.md
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This model is a fine-tuned version of [microsoft/resnet-18](https://huggingface.co/microsoft/resnet-18) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: nan
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- Accuracy: 0.
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- Precision: 0.
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- Recall: 0.
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- F1: 0.
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## Model description
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| 0.0 | 0.012 | 150 | nan | 0.0051 | 0.0024 | 0.0051 | 0.0016 |
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| 0.0 | 0.024 | 300 | nan | 0.0051 | 0.0017 | 0.0051 | 0.0015 |
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| 0.0 | 0.036 | 450 | nan | 0.0048 | 0.0014 | 0.0048 | 0.0016 |
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### Framework versions
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This model is a fine-tuned version of [microsoft/resnet-18](https://huggingface.co/microsoft/resnet-18) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: nan
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- Accuracy: 0.006
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- Precision: 0.0026
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- Recall: 0.006
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- F1: 0.0019
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## Model description
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| 0.0 | 0.012 | 150 | nan | 0.0051 | 0.0024 | 0.0051 | 0.0016 |
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| 0.0 | 0.024 | 300 | nan | 0.0051 | 0.0017 | 0.0051 | 0.0015 |
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| 0.0 | 0.036 | 450 | nan | 0.0048 | 0.0014 | 0.0048 | 0.0016 |
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| 0.0 | 0.048 | 600 | nan | 0.0054 | 0.0018 | 0.0054 | 0.0017 |
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| 0.0 | 0.06 | 750 | nan | 0.005 | 0.0015 | 0.005 | 0.0017 |
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| 0.0 | 0.072 | 900 | nan | 0.0044 | 0.0018 | 0.0044 | 0.0014 |
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| 0.0 | 0.084 | 1050 | nan | 0.0057 | 0.0023 | 0.0057 | 0.0017 |
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| 0.0 | 0.096 | 1200 | nan | 0.0045 | 0.0024 | 0.0045 | 0.0013 |
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| 0.0 | 0.108 | 1350 | nan | 0.005 | 0.0020 | 0.005 | 0.0017 |
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| 0.0 | 0.12 | 1500 | nan | 0.0056 | 0.0018 | 0.0056 | 0.0020 |
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| 0.0 | 0.132 | 1650 | nan | 0.006 | 0.0026 | 0.006 | 0.0019 |
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### Framework versions
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 45170672
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version https://git-lfs.github.com/spec/v1
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size 45170672
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preprocessor_config.json
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{
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"crop_pct": 0.875,
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"crop_size": null,
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"data_format": "channels_first",
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"default_to_square": false,
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"device": null,
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"disable_grouping": null,
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"do_center_crop": null,
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"do_convert_rgb": null,
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"do_normalize": true,
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"do_pad": null,
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"do_rescale": true,
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"do_resize": true,
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"image_mean": [
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0.485,
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0.456,
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0.406
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],
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"image_processor_type": "ConvNextImageProcessorFast",
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"image_std": [
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0.229,
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0.224,
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0.225
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],
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"input_data_format": null,
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"pad_size": null,
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"resample": 3,
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"rescale_factor": 0.00392156862745098,
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"return_tensors": null,
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"size": {
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"shortest_edge": 224
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}
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}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 5841
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version https://git-lfs.github.com/spec/v1
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oid sha256:0b5058f54273b45a23b23ffc37cf6866f491667abdb14c79299ab44843dc0517
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size 5841
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