Training in progress, epoch 0
Browse files- .gitignore +1 -0
- config.json +32 -0
- preprocessor_config.json +22 -0
- pytorch_model.bin +3 -0
- runs/Mar23_19-48-16_49635768e690/1679600907.9339797/events.out.tfevents.1679600907.49635768e690.287.1 +3 -0
- runs/Mar23_19-48-16_49635768e690/events.out.tfevents.1679600907.49635768e690.287.0 +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": "NORMAL",
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"1": "PNEUMONIA"
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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": "0",
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"PNEUMONIA": "1"
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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": "4.27.3"
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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": "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": 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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version https://git-lfs.github.com/spec/v1
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oid sha256:2b2507b65060b383e2009ff1faf5573080c8c311a40e0529d545c0bfc7cdb817
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size 343268717
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runs/Mar23_19-48-16_49635768e690/1679600907.9339797/events.out.tfevents.1679600907.49635768e690.287.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:4bc4ff9279178887bfb5e7fdb44d93f6ad98f7813d811ea4a11386753027e047
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size 5773
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runs/Mar23_19-48-16_49635768e690/events.out.tfevents.1679600907.49635768e690.287.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:783e47d10556abf55c25e955975e77a2b5e3cd2abfe364767bc5d1bbf6b09e40
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size 5158
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:15c380f938b2cbbc8d2cd1633a462ff3cddd5bb93776e9fec35d208b49b38a05
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size 3579
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