Training in progress, epoch 1
Browse files- .gitignore +1 -0
- config.json +56 -0
- preprocessor_config.json +22 -0
- pytorch_model.bin +3 -0
- runs/Aug09_07-37-22_c35b5dd065c9/events.out.tfevents.1691566652.c35b5dd065c9.10119.0 +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": "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": "cardboard",
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"1": "glass",
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"2": "metal",
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"3": "paper",
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"4": "plastic",
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"5": "trash"
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},
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"label2id": {
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"cardboard": 0,
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"glass": 1,
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"metal": 2,
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"paper": 3,
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"plastic": 4,
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"trash": 5
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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": "4.32.0.dev0"
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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:bd6b2cad76df6cf0f34bb34561aa6372af1a707ddf0dbe31462a7eb5e51bc4e8
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size 94407757
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runs/Aug09_07-37-22_c35b5dd065c9/events.out.tfevents.1691566652.c35b5dd065c9.10119.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:b4a4a8f2875f172c86d97b4839c9b3ceb1ee7ac3d08bb98c21d3460bb05220dd
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size 4691
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:4f367ad80f1229475b1117eee2700cc462ba371cb481c0b059652dd47fe3004f
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size 4027
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