Training in progress, epoch 1
Browse files- config.json +47 -0
- model.safetensors +3 -0
- preprocessor_config.json +44 -0
- training_args.bin +3 -0
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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"image_size": 256,
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"initializer_range": 0.02,
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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": "4.41.2"
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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:cdc234aafc85682a97a7951fa8036c3d7f869585f9c67a628b8dbda758b3f7f5
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size 19851560
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preprocessor_config.json
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{
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"_valid_processor_keys": [
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"images",
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"do_resize",
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"size",
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"resample",
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"do_center_crop",
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"crop_size",
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"do_rescale",
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"rescale_factor",
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"do_normalize",
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"image_mean",
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"image_std",
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"do_convert_rgb",
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"return_tensors",
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"data_format",
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"input_data_format"
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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_convert_rgb": 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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0.485,
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0.456,
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0.406
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],
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"image_processor_type": "BitImageProcessor",
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"image_std": [
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0.229,
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0.224,
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0.225
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],
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"resample": 3,
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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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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:c9077e2a1274bb670035b658a22e7dd1806cd7e57d38e203f3e82b4ffbf4b453
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size 5112
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