Training in progress, epoch 0
Browse files- config.json +69 -0
- model.safetensors +3 -0
- preprocessor_config.json +22 -0
- runs/Aug28_21-33-23_jrcai27/events.out.tfevents.1724870022.jrcai27.17156.0 +3 -0
- training_args.bin +3 -0
config.json
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{
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"_name_or_path": "microsoft/swin-base-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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18,
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2
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],
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"drop_path_rate": 0.1,
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"embed_dim": 128,
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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": 1024,
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"id2label": {
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"0": "LAYING",
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"1": "SITTING",
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"2": "STANDING",
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"3": "WALKING",
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"4": "WALKING_DOWNSTAIRS",
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"5": "WALKING_UPSTAIRS"
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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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"LAYING": 0,
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"SITTING": 1,
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"STANDING": 2,
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"WALKING": 3,
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"WALKING_DOWNSTAIRS": 4,
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"WALKING_UPSTAIRS": 5
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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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4,
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8,
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16,
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32
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],
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"num_layers": 4,
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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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"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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"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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"use_absolute_embeddings": false,
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"window_size": 7
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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 sha256:9dda4ed1290cad093dec152ad17d4016b6e2bde32e64517d7d03a221d766251e
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size 347515216
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preprocessor_config.json
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{
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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": "ViTImageProcessor",
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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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"height": 224,
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"width": 224
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}
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}
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runs/Aug28_21-33-23_jrcai27/events.out.tfevents.1724870022.jrcai27.17156.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:8f80918c5c4e5ca541809832f0513961f2fb2804f97100e07003b21df627a72f
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size 6260
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:4e0ecf6038e340d52dfdc0aca4ea725d72f5f02ceefeb5ca8ad72056a7f78e75
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size 4783
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