Commit
•
268036c
1
Parent(s):
0b65b8e
Training in progress, epoch 0
Browse files- .gitignore +1 -0
- config.json +51 -0
- preprocessor_config.json +23 -0
- pytorch_model.bin +3 -0
- training_args.bin +3 -0
.gitignore
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checkpoint-*/
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config.json
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{
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"_name_or_path": "facebook/convnext-tiny-224",
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"architectures": [
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"ConvNextForImageClassification"
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],
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"depths": [
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3,
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3,
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9,
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3
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],
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"drop_path_rate": 0.0,
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"hidden_act": "gelu",
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"hidden_sizes": [
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96,
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192,
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384,
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768
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],
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"id2label": {
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"0": "FNH",
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"1": "HCC",
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"2": "HHE",
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"3": "healthy"
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},
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"image_size": 224,
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"initializer_range": 0.02,
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"label2id": {
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"FNH": 0,
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"HCC": 1,
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"HHE": 2,
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"healthy": 3
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},
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"layer_norm_eps": 1e-12,
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"layer_scale_init_value": 1e-06,
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"model_type": "convnext",
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"num_channels": 3,
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"num_stages": 4,
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"out_features": null,
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"patch_size": 4,
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"problem_type": "single_label_classification",
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"stage_names": [
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"stem",
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"stage1",
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"stage2",
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"stage3",
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"stage4"
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],
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"torch_dtype": "float32",
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"transformers_version": "4.26.1"
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}
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preprocessor_config.json
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{
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"crop_pct": 0.875,
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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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"feature_extractor_type": "ConvNextFeatureExtractor",
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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": "ConvNextFeatureExtractor",
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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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"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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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:ade717d21300490df68203f59d9b5a031883ea5644ffb7d7995400a0a6a5c2cb
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size 111355173
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:716eda480a73bb4351db6a96e77a4b8ad771afb051f4709b94942f02e554f0d1
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size 3515
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