Training in progress, step 500
Browse files- .gitignore +1 -0
- config.json +32 -0
- preprocessor_config.json +22 -0
- pytorch_model.bin +3 -0
- runs/Apr03_11-19-52_d748f2ada57f/1680520801.1943965/events.out.tfevents.1680520801.d748f2ada57f.6338.5 +3 -0
- runs/Apr03_11-19-52_d748f2ada57f/events.out.tfevents.1680520801.d748f2ada57f.6338.4 +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": "notdrowsy",
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"1": "drowsy"
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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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"drowsy": "1",
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"notdrowsy": "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": "4.27.4"
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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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version https://git-lfs.github.com/spec/v1
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oid sha256:c941e07d1b6031fe6dec9854810e19495885105a984b6b5835e97a8e3aa146f3
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size 343268717
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runs/Apr03_11-19-52_d748f2ada57f/1680520801.1943965/events.out.tfevents.1680520801.d748f2ada57f.6338.5
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version https://git-lfs.github.com/spec/v1
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oid sha256:702879b47a800769ae411c9aae045a6eccb7f0db93a603c275e236ea8719e355
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size 5836
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runs/Apr03_11-19-52_d748f2ada57f/events.out.tfevents.1680520801.d748f2ada57f.6338.4
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version https://git-lfs.github.com/spec/v1
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oid sha256:c1177f8b464da9f64b873749e3f28ca2d319313800ab7569fd2947b92d711145
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size 12106
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:3793d600eeec2c7c3a4f16b200e0e01883c87fa5b99e0049ddd109ff5acef3fc
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size 3579
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