Training in progress, epoch 1
Browse files- .gitignore +1 -0
- config.json +71 -0
- preprocessor_config.json +17 -0
- pytorch_model.bin +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": "apple/mobilevit-small",
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"architectures": [
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"MobileViTForImageClassification"
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],
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"aspp_dropout_prob": 0.1,
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"aspp_out_channels": 256,
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"atrous_rates": [
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6,
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12,
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18
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],
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"attention_probs_dropout_prob": 0.0,
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"classifier_dropout_prob": 0.1,
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"conv_kernel_size": 3,
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"expand_ratio": 4.0,
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"hidden_act": "silu",
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"hidden_dropout_prob": 0.1,
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"hidden_sizes": [
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144,
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192,
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240
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],
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"id2label": {
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"0": "AnnualCrop",
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"1": "Forest",
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"2": "HerbaceousVegetation",
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"3": "Highway",
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"4": "Industrial",
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"5": "Pasture",
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"6": "PermanentCrop",
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"7": "Residential",
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"8": "River",
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"9": "SeaLake"
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},
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"image_size": 256,
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"initializer_range": 0.02,
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"label2id": {
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"AnnualCrop": 0,
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"Forest": 1,
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"HerbaceousVegetation": 2,
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"Highway": 3,
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"Industrial": 4,
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"Pasture": 5,
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"PermanentCrop": 6,
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"Residential": 7,
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"River": 8,
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"SeaLake": 9
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},
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"layer_norm_eps": 1e-05,
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"mlp_ratio": 2.0,
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"model_type": "mobilevit",
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"neck_hidden_sizes": [
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16,
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32,
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64,
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96,
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128,
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160,
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640
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],
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"num_attention_heads": 4,
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"num_channels": 3,
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"output_stride": 32,
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"patch_size": 2,
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"problem_type": "single_label_classification",
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"qkv_bias": true,
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"semantic_loss_ignore_index": 255,
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"torch_dtype": "float32",
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"transformers_version": "4.31.0"
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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": 256,
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"width": 256
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},
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"do_center_crop": true,
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"do_flip_channel_order": true,
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"do_flip_channels": true,
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"do_rescale": true,
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"do_resize": true,
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"image_processor_type": "MobileViTImageProcessor",
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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": 288
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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 sha256:562123612c0c60fa83c599d70ede999ea2672772739ad4a4016c84faa53d0ffb
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size 19950201
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:5c71c26d4894e9333e3e872ac8c5695cd0dcb351207a13c82f577cad4a623593
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size 3963
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