Training in progress, epoch 1
Browse files- .gitignore +1 -0
- config.json +94 -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": "microsoft/resnet-101",
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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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23,
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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": "beverage cans",
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"1": "cardboard",
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"2": "cigarette butt",
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"3": "construction scrap",
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"4": "electrical cables",
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"5": "electronic chips",
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"6": "glass",
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"7": "gloves",
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"8": "laptops",
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"9": "masks",
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"10": "medicines",
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"11": "metal containers",
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"12": "news paper",
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"13": "other metal objects",
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"14": "paper",
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"15": "paper cups",
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"16": "plastic bags",
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"17": "plastic bottles",
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"18": "plastic containers",
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"19": "plastic cups",
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"20": "small appliances",
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"21": "smartphones",
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"22": "spray cans",
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"23": "syringe",
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"24": "tetra pak"
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},
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"label2id": {
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"beverage cans": 0,
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"cardboard": 1,
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"cigarette butt": 2,
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"construction scrap": 3,
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"electrical cables": 4,
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"electronic chips": 5,
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"glass": 6,
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"gloves": 7,
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"laptops": 8,
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"masks": 9,
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"medicines": 10,
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"metal containers": 11,
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"news paper": 12,
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"other metal objects": 13,
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"paper": 14,
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"paper cups": 15,
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"plastic bags": 16,
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"plastic bottles": 17,
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"plastic containers": 18,
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"plastic cups": 19,
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"small appliances": 20,
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"smartphones": 21,
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"spray cans": 22,
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"syringe": 23,
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"tetra pak": 24
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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.dev0"
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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 sha256:03586da3d33f605140628fc0b43414225fe3384f7704af23ed4e040141e189f8
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size 170850837
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:1c829cf992f461cfc4894c4fddb30d00bd36cbc07277320cd4ed42b066f14da4
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size 3899
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