Upload folder using huggingface_hub
Browse files- config.json +145 -0
- model.safetensors +3 -0
- preprocessor_config.json +22 -0
- trainer_state.json +97 -0
- training_args.bin +3 -0
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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],
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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": "LABEL_0",
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"1": "LABEL_1",
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"2": "LABEL_2",
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"3": "LABEL_3",
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"4": "LABEL_4",
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"5": "LABEL_5",
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"6": "LABEL_6",
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"7": "LABEL_7",
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"8": "LABEL_8",
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"9": "LABEL_9",
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"14": "LABEL_14",
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"15": "LABEL_15",
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"16": "LABEL_16",
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"17": "LABEL_17",
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"18": "LABEL_18",
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"19": "LABEL_19",
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"20": "LABEL_20",
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"21": "LABEL_21",
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"22": "LABEL_22",
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"23": "LABEL_23",
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"26": "LABEL_26",
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"29": "LABEL_29",
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"30": "LABEL_30",
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"31": "LABEL_31",
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"32": "LABEL_32",
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"37": "LABEL_37",
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"38": "LABEL_38",
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"39": "LABEL_39",
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"40": "LABEL_40",
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"41": "LABEL_41",
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"42": "LABEL_42",
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"43": "LABEL_43",
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"48": "LABEL_48",
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"49": "LABEL_49"
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},
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"label2id": {
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"LABEL_0": 0,
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"LABEL_13": 13,
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"LABEL_14": 14,
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"LABEL_2": 2,
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"LABEL_28": 28,
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"LABEL_29": 29,
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"LABEL_3": 3,
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"LABEL_30": 30,
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"LABEL_31": 31,
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"LABEL_33": 33,
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"LABEL_35": 35,
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"LABEL_36": 36,
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"LABEL_37": 37,
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"LABEL_38": 38,
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"LABEL_39": 39,
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"LABEL_48": 48,
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"LABEL_49": 49,
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"LABEL_5": 5,
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"LABEL_7": 7,
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"LABEL_8": 8,
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"LABEL_9": 9
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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": "4.44.0"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:ca23b6fe21786f86ae8b15399f7e0a6fdb0eb75a2abbfd57f9894083247a0910
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size 170916120
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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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trainer_state.json
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{
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"best_metric": 0.8746666666666667,
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"best_model_checkpoint": "./resnet_finetuned_models_dataset/CIFAR100/50_from_100/microsoft_resnet-101/model_idx_0539/checkpoints/checkpoint-1332",
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"epoch": 4.0,
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"eval_steps": 500,
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"global_step": 1332,
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"log_history": [
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{
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"epoch": 1.0,
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"grad_norm": 113.79971313476562,
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"learning_rate": 7e-05,
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"loss": 3.4037,
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"step": 333
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},
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{
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"step": 333
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},
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{
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"epoch": 2.0,
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"learning_rate": 7e-05,
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"step": 666
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{
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"step": 666
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},
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{
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{
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"step": 999
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{
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},
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{
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"step": 1332
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}
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],
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"logging_steps": 500,
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"max_steps": 1332,
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"num_input_tokens_seen": 0,
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"num_train_epochs": 4,
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"save_steps": 500,
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"stateful_callbacks": {
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"TrainerControl": {
|
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"args": {
|
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"should_epoch_stop": false,
|
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"should_evaluate": false,
|
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"should_log": false,
|
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|
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"should_training_stop": true
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},
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"attributes": {}
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}
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},
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"total_flos": 3.2705716958208e+18,
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"train_batch_size": 64,
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"trial_name": null,
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"trial_params": null
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}
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training_args.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:cf5b77004c3e7d772e7acb1aa95eab09f5758417c2d19fb76d07c0ff957c26cd
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size 5368
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