Training in progress, epoch 0
Browse files- .gitignore +1 -0
- config.json +53 -0
- preprocessor_config.json +22 -0
- pytorch_model.bin +3 -0
- runs/Jul09_21-53-50_da59a6b3409d/events.out.tfevents.1688939664.da59a6b3409d.1627.0 +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/convnextv2-large-1k-224",
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"architectures": [
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"ConvNextV2ForImageClassification"
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],
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"depths": [
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3,
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3,
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27,
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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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192,
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384,
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768,
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1536
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],
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"id2label": {
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"0": "Lung-Benign_Tissue",
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"1": "Lung_Adenocarcinoma",
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"2": "Lung_Squamous_Cell_Carcinoma"
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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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"Lung-Benign_Tissue": 0,
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"Lung_Adenocarcinoma": 1,
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"Lung_Squamous_Cell_Carcinoma": 2
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},
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"layer_norm_eps": 1e-12,
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"model_type": "convnextv2",
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"num_channels": 3,
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"num_stages": 4,
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"out_features": [
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"stage4"
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],
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"out_indices": [
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4
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],
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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": "4.30.2"
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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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"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": "ConvNextImageProcessor",
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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 sha256:229abe814be6762aad8195e248c210709f2661459804922816fa960c76277147
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size 785830205
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runs/Jul09_21-53-50_da59a6b3409d/events.out.tfevents.1688939664.da59a6b3409d.1627.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:905d12271fdda86f7319c3dfba626599802fd096c03327f270b7fcc0d349327a
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size 13526
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:3d7444106e37a73c2df83a9ecd09ef354eaf0e69e94db2b95b5645863ddc5d22
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size 4091
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