Training in progress, epoch 0
Browse files- config.json +32 -0
- model.safetensors +3 -0
- preprocessor_config.json +36 -0
- training_args.bin +3 -0
config.json
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{
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"_name_or_path": "google/vit-base-patch16-384",
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"architectures": [
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"ViTForImageClassification"
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],
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"attention_probs_dropout_prob": 0.0,
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"encoder_stride": 16,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 768,
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"id2label": {
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"0": "f",
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"1": "r"
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},
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"image_size": 384,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"fake": 0,
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"real": 1
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},
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"layer_norm_eps": 1e-12,
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"model_type": "vit",
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"num_attention_heads": 12,
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"num_channels": 3,
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"num_hidden_layers": 12,
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"patch_size": 16,
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"problem_type": "single_label_classification",
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"qkv_bias": true,
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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 sha256:6f4ce53c92b09e7295b4c6baabe9061cbc1dfa67e7382c7a06d03c9f829e0730
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size 344391328
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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_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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"return_tensors",
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"data_format",
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"input_data_format"
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],
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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": "ViTImageProcessor",
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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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"height": 384,
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"width": 384
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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 sha256:13ea4c95ebafd32d184b056d62eca7217718cd8b63107874d357ccfa13733906
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size 5176
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