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histo_train_segformer

Image Classification
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tcvrishank commited on
Commit
e50c715
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1 Parent(s): b7e7917

Training in progress, step 100

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Files changed (8) hide show
  1. config.json +59 -12
  2. preprocessor_config.json +10 -9
  3. pytorch_model.bin +2 -2
  4. runs/Mar27_21-45-18_1d680bb46753/1679953650.0423949/events.out.tfevents.1679953650.1d680bb46753.997.1 +3 -0
  5. runs/Mar27_21-45-18_1d680bb46753/events.out.tfevents.1679953650.1d680bb46753.997.0 +3 -0
  6. runs/Mar27_21-48-33_1d680bb46753/1679953724.1269505/events.out.tfevents.1679953724.1d680bb46753.997.3 +3 -0
  7. runs/Mar27_21-48-33_1d680bb46753/events.out.tfevents.1679953724.1d680bb46753.997.2 +3 -0
  8. training_args.bin +2 -2
config.json CHANGED
@@ -1,13 +1,32 @@
1
  {
2
- "_name_or_path": "tcvrishank/histo_train_vit",
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  "architectures": [
4
- "ViTForImageClassification"
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  ],
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  "attention_probs_dropout_prob": 0.0,
7
- "encoder_stride": 16,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  "hidden_act": "gelu",
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  "hidden_dropout_prob": 0.0,
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- "hidden_size": 768,
 
 
 
 
 
11
  "id2label": {
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  "0": "Benign",
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  "1": "InSitu",
@@ -16,21 +35,49 @@
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  },
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  "image_size": 224,
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  "initializer_range": 0.02,
19
- "intermediate_size": 3072,
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  "label2id": {
21
  "Benign": "0",
22
  "InSitu": "1",
23
  "Invasive": "2",
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  "Normal": "3"
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  },
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- "layer_norm_eps": 1e-12,
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- "model_type": "vit",
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- "num_attention_heads": 12,
 
 
 
 
 
 
 
 
 
 
 
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  "num_channels": 3,
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- "num_hidden_layers": 12,
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- "patch_size": 16,
 
 
 
 
 
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  "problem_type": "single_label_classification",
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- "qkv_bias": true,
 
 
 
 
 
 
 
 
 
 
 
 
 
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  "torch_dtype": "float32",
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- "transformers_version": "4.26.1"
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  }
 
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  {
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+ "_name_or_path": "nvidia/mit-b0",
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  "architectures": [
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+ "SegformerForImageClassification"
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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": 256,
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+ "depths": [
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+ "downsampling_rates": [
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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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+ 32,
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+ 64,
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+ 160,
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+ 256
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+ ],
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  "id2label": {
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  "0": "Benign",
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  "1": "InSitu",
 
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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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  "Benign": "0",
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  "InSitu": "1",
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  "Invasive": "2",
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  "Normal": "3"
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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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  "problem_type": "single_label_classification",
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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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+ ],
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  "torch_dtype": "float32",
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+ "transformers_version": "4.27.3"
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  }
preprocessor_config.json CHANGED
@@ -1,22 +1,23 @@
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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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- "image_processor_type": "ViTFeatureExtractor",
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  "image_std": [
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- 0.5,
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- 0.5
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  "resample": 2,
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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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  {
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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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+ "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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