Training in progress, epoch 0
Browse files
.ipynb_checkpoints/config-checkpoint.json
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{
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"_name_or_path": "microsoft/swin-base-simmim-window6-192",
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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": "abnormal",
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"1": "normal"
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},
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"image_size": 192,
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"initializer_range": 0.02,
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"label2id": {
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"abnormal": 0,
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"normal": 1
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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": "4.29.1",
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"use_absolute_embeddings": false,
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"window_size": 6
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}
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.ipynb_checkpoints/preprocessor_config-checkpoint.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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0.5,
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0.5,
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0.5
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],
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"image_processor_type": "ViTImageProcessor",
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"image_std": [
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0.5,
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0.5,
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0.5
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],
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"resample": 2,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"height": 192,
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"width": 192
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}
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}
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pytorch_model.bin
CHANGED
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 347315601
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version https://git-lfs.github.com/spec/v1
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oid sha256:457ad7b40739cdabc7529ad573117b80c4d88cdaf6b0e06d7b5cd0e1eda2e580
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size 347315601
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training_args.bin
CHANGED
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 3963
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:3e0b147e75f4155139acfe23ddfccadb62c1cd77819d28928026fcf05d2d9622
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size 3963
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