Training in progress, epoch 0
Browse files- config.json +44 -0
- preprocessor_config.json +22 -0
- pytorch_model.bin +3 -0
- training_args.bin +3 -0
config.json
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{
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"_name_or_path": "google/vit-base-patch16-224-in21k",
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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": "Anthracnose",
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"1": "algal leaf",
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"2": "bird eye spot",
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"3": "brown blight",
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"4": "gray light",
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"5": "healthy",
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"6": "red leaf spot",
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"7": "white spot"
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},
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"image_size": 224,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"Anthracnose": 0,
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"algal leaf": 1,
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"bird eye spot": 2,
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"brown blight": 3,
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"gray light": 4,
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"healthy": 5,
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"red leaf spot": 6,
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"white spot": 7
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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": "4.33.0"
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}
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preprocessor_config.json
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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": 224,
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"width": 224
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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 sha256:68baa734fbd3015c5728dcb6522dca1e36c2712b5ddd2c67a162c0c285e1529a
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size 343287149
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:7ca341873c55c9bfec3db303323a20534b2bb90328d158b4ee32fcb547762315
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size 4027
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