Upload config.json
Browse files- config.json +129 -106
config.json
CHANGED
@@ -1,107 +1,130 @@
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{
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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_bottleneck": false,
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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": "Acropore_branched",
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"1": "Acropore_digitised",
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"2": "Acropore_sub_massive",
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"3": "Acropore_tabular",
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"4": "Algae_assembly",
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"5": "Algae_drawn_up",
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"6": "Algae_limestone",
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"7": "Algae_sodding",
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"8": "Atra/Leucospilota",
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"9": "Bleached_coral",
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"10": "Blurred",
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"11": "Dead_coral",
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"12": "Fish",
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"13": "Homo_sapiens",
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"14": "Human_object",
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"15": "Living_coral",
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"16": "Millepore",
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"17": "No_acropore_encrusting",
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"18": "No_acropore_foliaceous",
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"19": "No_acropore_massive",
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"20": "No_acropore_solitary",
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"21": "No_acropore_sub_massive",
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"22": "Rock",
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"23": "Rubble",
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"24": "Sand",
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"25": "Sea_cucumber",
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"26": "Sea_urchins",
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"27": "Sponge",
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"28": "Syringodium_isoetifolium",
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"29": "Thalassodendron_ciliatum",
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"30": "Useless"
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},
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"label2id": {
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"Acropore_branched": 0,
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"Acropore_digitised": 1,
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"Acropore_sub_massive": 2,
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"Acropore_tabular": 3,
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"Algae_assembly": 4,
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"Algae_drawn_up": 5,
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"Algae_limestone": 6,
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"Algae_sodding": 7,
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"Atra/Leucospilota": 8,
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"Bleached_coral": 9,
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"Blurred": 10,
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"Dead_coral": 11,
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"Fish": 12,
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"Homo_sapiens": 13,
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"Human_object": 14,
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"Living_coral": 15,
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"Millepore": 16,
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"No_acropore_encrusting": 17,
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"No_acropore_foliaceous": 18,
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"No_acropore_massive": 19,
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"No_acropore_solitary": 20,
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"No_acropore_sub_massive": 21,
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"Rock": 22,
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"Rubble": 23,
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"Sand": 24,
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"Sea_cucumber": 25,
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"Sea_urchins": 26,
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"Sponge": 27,
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"Syringodium_isoetifolium": 28,
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"Thalassodendron_ciliatum": 29,
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"Useless": 30
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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": "multi_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": "4.44.2",
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"initial_learning_rate": 0.001,
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"train_batch_size": 32,
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"eval_batch_size": 32,
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"optimizer": {
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"type": "Adam"
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},
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"lr_scheduler_type": {
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"type": "ReduceLROnPlateau"
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},
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"patience_lr_scheduler": 5,
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"factor_lr_scheduler": 0.1,
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"weight_decay": 0.0001,
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"early_stopping_patience": 10,
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"freeze_encoder": true,
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"data_augmentation": true,
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"num_epochs": 400,
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"emissions_data": {
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"emissions": 0.1871415951855612,
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"source": "Code Carbon",
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"training_type": "fine-tuning",
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"geographical_location": "Brest, France",
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"hardware_used": "NVIDIA Tesla V100 PCIe 32 Go"
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}
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}
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