Training in progress, epoch 1
Browse files- config.json +78 -0
- preprocessor_config.json +23 -0
- pytorch_model.bin +3 -0
- training_args.bin +3 -0
config.json
ADDED
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{
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"_name_or_path": "nvidia/mit-b5",
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"architectures": [
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"SegformerForSemanticSegmentation"
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],
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"attention_probs_dropout_prob": 0.0,
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"classifier_dropout_prob": 0.1,
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"decoder_hidden_size": 768,
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"depths": [
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3,
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6,
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40,
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3
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],
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"downsampling_rates": [
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1,
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4,
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8,
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16
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],
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"drop_path_rate": 0.1,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_sizes": [
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64,
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128,
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320,
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512
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],
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"id2label": {
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"0": "background",
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"1": "crack"
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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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"background": "0",
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"crack": "1"
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},
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"layer_norm_eps": 1e-06,
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"mlp_ratios": [
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4,
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4,
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4,
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4
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],
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"model_type": "segformer",
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"num_attention_heads": [
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1,
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2,
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5,
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8
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],
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"num_channels": 3,
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"num_encoder_blocks": 4,
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"patch_sizes": [
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7,
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3,
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3,
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3
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],
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"reshape_last_stage": true,
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"semantic_loss_ignore_index": 255,
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"sr_ratios": [
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8,
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4,
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2,
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1
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],
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"strides": [
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4,
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2,
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2,
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2
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],
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"torch_dtype": "float32",
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"transformers_version": "4.32.0.dev0"
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}
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preprocessor_config.json
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{
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"do_normalize": true,
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"do_reduce_labels": false,
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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": "SegformerImageProcessor",
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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": 2,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"height": 512,
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"width": 512
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}
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:d22663162df8a7b68f1e9fabc81b8b5e9228232c838a5ac626f0a06d05366840
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size 338777033
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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 sha256:20e7328606e5b59548603eaabeb671c2fb031b7c4e066c832f79a4484957019b
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size 4027
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