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/Jun24_09-42-44_deep-learning-vm1/events.out.tfevents.1687599865.deep-learning-vm1.11964.0 +3 -0
- runs/Jun24_09-42-44_deep-learning-vm1/events.out.tfevents.1687600080.deep-learning-vm1.11964.1 +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": "4.30.2"
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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:eeb8ed318497e1f3ef9c522a6b673462e735a59cb710df338ef5b77fe8d0444f
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size 343266993
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runs/Jun24_09-42-44_deep-learning-vm1/events.out.tfevents.1687599865.deep-learning-vm1.11964.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:c35c6c3e8db593998045792f6474bfebdeb7f8796d5858a010e5d766acb2d91d
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size 4020
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runs/Jun24_09-42-44_deep-learning-vm1/events.out.tfevents.1687600080.deep-learning-vm1.11964.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:6ef7c97f9bda1c6006ce5dc93beda821d95f24250def28570fa91b7e341edeb4
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size 4491
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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:da52dd1f4e287371d4584323b211c4752c866798fbed3cbdf4797c5cdc850bb3
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size 3951
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