Training in progress, epoch 1
Browse files- .gitignore +1 -0
- config.json +64 -0
- preprocessor_config.json +17 -0
- pytorch_model.bin +3 -0
- runs/May20_06-21-25_f91e82e3961e/1653028749.8937793/events.out.tfevents.1653028749.f91e82e3961e.70.1 +3 -0
- runs/May20_06-21-25_f91e82e3961e/1653029019.894786/events.out.tfevents.1653029019.f91e82e3961e.70.2 +3 -0
- runs/May20_06-21-25_f91e82e3961e/1653029059.8993416/events.out.tfevents.1653029059.f91e82e3961e.70.3 +3 -0
- runs/May20_06-21-25_f91e82e3961e/1653029452.9008014/events.out.tfevents.1653029452.f91e82e3961e.70.4 +3 -0
- runs/May20_06-21-25_f91e82e3961e/1653029480.864128/events.out.tfevents.1653029480.f91e82e3961e.70.5 +3 -0
- runs/May20_06-21-25_f91e82e3961e/1653029690.8989654/events.out.tfevents.1653029690.f91e82e3961e.70.6 +3 -0
- runs/May20_06-21-25_f91e82e3961e/1653029735.9394593/events.out.tfevents.1653029735.f91e82e3961e.70.7 +3 -0
- runs/May20_06-21-25_f91e82e3961e/1653029747.9038987/events.out.tfevents.1653029747.f91e82e3961e.70.8 +3 -0
- runs/May20_06-21-25_f91e82e3961e/1653030181.9211142/events.out.tfevents.1653030181.f91e82e3961e.70.9 +3 -0
- runs/May20_06-21-25_f91e82e3961e/1653030192.9567103/events.out.tfevents.1653030192.f91e82e3961e.70.10 +3 -0
- runs/May20_06-21-25_f91e82e3961e/events.out.tfevents.1653028749.f91e82e3961e.70.0 +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/swin-tiny-patch4-window7-224",
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"architectures": [
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"SwinForImageClassification"
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],
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"attention_probs_dropout_prob": 0.0,
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"depths": [
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2,
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2,
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6,
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2
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],
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"drop_path_rate": 0.1,
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"embed_dim": 96,
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"encoder_stride": 32,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 768,
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"id2label": {
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"0": "AnnualCrop",
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"1": "Forest",
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"2": "HerbaceousVegetation",
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"3": "Highway",
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"4": "Industrial",
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"5": "Pasture",
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"6": "PermanentCrop",
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"7": "Residential",
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"8": "River",
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"9": "SeaLake"
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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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"AnnualCrop": 0,
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"Forest": 1,
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"HerbaceousVegetation": 2,
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"Highway": 3,
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"Industrial": 4,
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"Pasture": 5,
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"PermanentCrop": 6,
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"Residential": 7,
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"River": 8,
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"SeaLake": 9
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},
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"layer_norm_eps": 1e-05,
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"mlp_ratio": 4.0,
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"model_type": "swin",
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"num_channels": 3,
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"num_heads": [
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3,
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6,
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12,
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24
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],
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"num_layers": 4,
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"patch_size": 4,
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"path_norm": true,
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"problem_type": "single_label_classification",
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"qkv_bias": true,
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"torch_dtype": "float32",
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"transformers_version": "4.19.2",
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"use_absolute_embeddings": false,
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"window_size": 7
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}
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preprocessor_config.json
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{
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"do_normalize": true,
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"do_resize": true,
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"feature_extractor_type": "ViTFeatureExtractor",
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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_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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"size": 224
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}
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pytorch_model.bin
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training_args.bin
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