Training in progress, step 500
Browse files- .gitignore +1 -0
- config.json +48 -0
- preprocessor_config.json +23 -0
- pytorch_model.bin +3 -0
- runs/Aug30_14-29-36_surveily-ag-02/events.out.tfevents.1693398581.surveily-ag-02.5833.2 +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": "microsoft/resnet-50",
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"architectures": [
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"ResNetForImageClassification"
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],
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"depths": [
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3,
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4,
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6,
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3
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],
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"downsample_in_first_stage": false,
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"embedding_size": 64,
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"hidden_act": "relu",
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"hidden_sizes": [
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256,
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512,
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1024,
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2048
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],
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"id2label": {
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"0": "day",
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"1": "night"
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},
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"label2id": {
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"day": "0",
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"night": "1"
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},
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"layer_type": "bottleneck",
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"model_type": "resnet",
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"num_channels": 3,
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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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"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": "4.31.0"
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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:bcf315ac61005fb31f9a6746f866e787dd76036bd9a40fbc6dcd476a8f44f4df
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size 94374989
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runs/Aug30_14-29-36_surveily-ag-02/events.out.tfevents.1693398581.surveily-ag-02.5833.2
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version https://git-lfs.github.com/spec/v1
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oid sha256:3bab6b896a31226b2411042db877bf3ff878db16da68a544ce83b64b878aaa47
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size 6483
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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:a49efc7ccdbc5bcb85d4b5c069494295d7d7c18837510bfc09310d5d69da6b6d
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size 3963
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