Training in progress, epoch 1
Browse files- .gitignore +1 -0
- config.json +56 -0
- preprocessor_config.json +17 -0
- pytorch_model.bin +3 -0
- runs/Apr08_09-53-58_0ab892ee8a37/1680947650.5947213/events.out.tfevents.1680947650.0ab892ee8a37.14219.1 +3 -0
- runs/Apr08_09-53-58_0ab892ee8a37/events.out.tfevents.1680947650.0ab892ee8a37.14219.0 +3 -0
- runs/Apr08_10-25-07_0ab892ee8a37/1680949513.5595057/events.out.tfevents.1680949513.0ab892ee8a37.22260.1 +3 -0
- runs/Apr08_10-25-07_0ab892ee8a37/events.out.tfevents.1680949513.0ab892ee8a37.22260.0 +3 -0
- runs/Apr08_10-28-09_0ab892ee8a37/1680949695.5340056/events.out.tfevents.1680949695.0ab892ee8a37.23101.1 +3 -0
- runs/Apr08_10-28-09_0ab892ee8a37/events.out.tfevents.1680949695.0ab892ee8a37.23101.0 +3 -0
- runs/Apr08_11-49-25_0ab892ee8a37/1680954572.8218694/events.out.tfevents.1680954572.0ab892ee8a37.43706.1 +3 -0
- runs/Apr08_11-49-25_0ab892ee8a37/events.out.tfevents.1680954572.0ab892ee8a37.43706.0 +3 -0
- runs/Apr08_11-51-29_0ab892ee8a37/1680954695.9567575/events.out.tfevents.1680954695.0ab892ee8a37.44367.1 +3 -0
- runs/Apr08_11-51-29_0ab892ee8a37/events.out.tfevents.1680954695.0ab892ee8a37.44367.0 +3 -0
- runs/Apr08_12-03-00_0ab892ee8a37/1680955387.1283257/events.out.tfevents.1680955387.0ab892ee8a37.47320.1 +3 -0
- runs/Apr08_12-03-00_0ab892ee8a37/events.out.tfevents.1680955387.0ab892ee8a37.47320.0 +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": "apple/deeplabv3-mobilevit-small",
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"architectures": [
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"MobileViTForSemanticSegmentation"
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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": "background",
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"1": "left",
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"2": "right"
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},
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"image_size": 512,
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"initializer_range": 0.02,
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"label2id": {
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"background": "0",
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"left": "1",
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"right": "2"
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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": 16,
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"patch_size": 2,
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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": "4.28.0.dev0"
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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": 512,
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"width": 512
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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": 544
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}
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}
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pytorch_model.bin
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training_args.bin
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