Training in progress, epoch 1
Browse files
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": "disability",
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"1": "healthy",
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"2": "osteochondrosis",
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"3": "osteoporosis",
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"4": "other",
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"5": "scoliosis",
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"6": "spondylolisthesis",
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"7": "vertebral_compression_fracture"
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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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"disability": 0,
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"healthy": 1,
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"osteochondrosis": 2,
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"osteoporosis": 3,
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"other": 4,
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"scoliosis": 5,
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"spondylolisthesis": 6,
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"vertebral_compression_fracture": 7
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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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"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": "4.35.2",
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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 sha256:40b8742764838904932ada321df9ffec9b8036f54d3cf3459d1411071e39a0ff
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size 110361288
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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/Dec29_02-37-43_3a4c0f957909/events.out.tfevents.1703817465.3a4c0f957909.40100.3
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:7a6ef3e6f5b11cd9c1fb22511dfc2ac3189b59f77d04994aaec77bbf3ad65a9f
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size 10133
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training_args.bin
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:da8db8e9e1c0ef88ae8c65535a376293bae2ec968879e9a335c76e705bcbe1f3
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size 4600
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