aitomation
commited on
Commit
•
ab86495
1
Parent(s):
a7728b3
Training in progress, epoch 0
Browse files- .gitignore +1 -0
- config.json +33 -0
- preprocessor_config.json +26 -0
- pytorch_model.bin +3 -0
- runs/Feb13_16-47-24_pieter-ml-linux/events.out.tfevents.1707835676.pieter-ml-linux.5517.0 +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/mobilenet_v2_1.4_224",
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"architectures": [
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"MobileNetV2ForImageClassification"
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],
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"classifier_dropout_prob": 0.2,
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"depth_divisible_by": 8,
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"depth_multiplier": 1.4,
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"expand_ratio": 6,
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"finegrained_output": true,
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"first_layer_is_expansion": true,
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"hidden_act": "relu6",
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"id2label": {
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"0": "np",
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"1": "ot"
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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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"np": 0,
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"ot": 1
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},
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"layer_norm_eps": 0.001,
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"min_depth": 8,
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"model_type": "mobilenet_v2",
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"num_channels": 3,
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"output_stride": 32,
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"problem_type": "single_label_classification",
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"semantic_loss_ignore_index": 255,
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"tf_padding": 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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"crop_size": {
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"height": 224,
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"width": 224
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},
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"do_center_crop": true,
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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": "MobileNetV2ImageProcessor",
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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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"shortest_edge": 256
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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:ab54d9ecc9c8a62742835325de32bb84fbdc46313977e2dc38020cd95dc51b69
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size 17576949
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runs/Feb13_16-47-24_pieter-ml-linux/events.out.tfevents.1707835676.pieter-ml-linux.5517.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:ea953b4ceefd35b8d6887e40492cd3cee9f091df65197eb08f6ec7beeb04a799
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size 4719
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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:a2a28ac04d96d738e38f1c3243dff187ee52b21d1d18205be43d8889d8bf36bf
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size 3963
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