Training in progress, epoch 1
Browse files- .gitignore +1 -0
- config.json +32 -0
- preprocessor_config.json +22 -0
- pytorch_model.bin +3 -0
- runs/Mar13_08-32-35_1c4125116343/1678696387.737725/events.out.tfevents.1678696387.1c4125116343.9334.1 +3 -0
- runs/Mar13_08-32-35_1c4125116343/events.out.tfevents.1678696387.1c4125116343.9334.0 +3 -0
- runs/Mar13_08-44-56_1c4125116343/1678697108.1553411/events.out.tfevents.1678697108.1c4125116343.9334.3 +3 -0
- runs/Mar13_08-44-56_1c4125116343/1678697317.6216679/events.out.tfevents.1678697317.1c4125116343.9334.4 +3 -0
- runs/Mar13_08-44-56_1c4125116343/1678697525.2659326/events.out.tfevents.1678697525.1c4125116343.9334.6 +3 -0
- runs/Mar13_08-44-56_1c4125116343/1678698284.2374094/events.out.tfevents.1678698284.1c4125116343.9334.8 +3 -0
- runs/Mar13_08-44-56_1c4125116343/events.out.tfevents.1678697108.1c4125116343.9334.2 +3 -0
- runs/Mar13_08-44-56_1c4125116343/events.out.tfevents.1678697525.1c4125116343.9334.5 +3 -0
- runs/Mar13_08-44-56_1c4125116343/events.out.tfevents.1678698284.1c4125116343.9334.7 +3 -0
- runs/Mar13_09-10-45_1c4125116343/1678698661.2028086/events.out.tfevents.1678698661.1c4125116343.9334.10 +3 -0
- runs/Mar13_09-10-45_1c4125116343/events.out.tfevents.1678698661.1c4125116343.9334.9 +3 -0
- training_args.bin +3 -0
.gitignore
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checkpoint-*/
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config.json
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{
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"_name_or_path": "google/vit-base-patch16-224-in21k",
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"architectures": [
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"ViTForImageClassification"
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],
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"attention_probs_dropout_prob": 0.0,
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"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,
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"id2label": {
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"0": "PNEUMONIA",
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"1": "NORMAL"
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},
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"image_size": 224,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"NORMAL": "1",
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"PNEUMONIA": "0"
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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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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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0.5,
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0.5,
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0.5
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],
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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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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": 224,
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"width": 224
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}
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}
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pytorch_model.bin
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training_args.bin
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