Training in progress, epoch 0
Browse files
config.json
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{
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"_name_or_path": "google/mobilenet_v2_1.0_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": 1.0,
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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": "false",
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"1": "true"
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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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"false": 0,
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"true": 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": 12,
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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": "4.38.2"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b8364a1240dfba9ac4d7866f0beaa35d7c3768fb24dd74a4167816835fdcea13
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size 9090584
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preprocessor_config.json
ADDED
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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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runs/Mar09_13-47-47_eacb41657587/events.out.tfevents.1709992068.eacb41657587.202.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:6cf8202d5dc381b08768c73106fcfc9ed42d22b85267f4f279faddf144c72a61
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size 5244
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training_args.bin
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:089a5aef04a481de193a9fcbcda3be4e3499a25d820fa74d32433a08405cb4c3
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size 4920
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