Commit
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8b56a32
1
Parent(s):
978e16e
Training in progress, step 500
Browse files- .gitignore +1 -0
- config.json +34 -0
- preprocessor_config.json +17 -0
- pytorch_model.bin +3 -0
- runs/Nov27_05-21-44_934771ea7931/1669526524.2720497/events.out.tfevents.1669526524.934771ea7931.76.1 +3 -0
- runs/Nov27_05-21-44_934771ea7931/events.out.tfevents.1669526524.934771ea7931.76.0 +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": "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": "angular_leaf_spot",
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"1": "bean_rust",
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"2": "healthy"
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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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"angular_leaf_spot": "0",
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"bean_rust": "1",
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"healthy": "2"
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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": "4.24.0"
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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_resize": true,
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"feature_extractor_type": "ViTFeatureExtractor",
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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_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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"size": 224
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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:e067b08d5ba625d84f1f75b1770b47fdd66c2bc63fbdf4688562e536ebc78f30
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size 343270065
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runs/Nov27_05-21-44_934771ea7931/1669526524.2720497/events.out.tfevents.1669526524.934771ea7931.76.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:2d8c06f954cd0921121e24b6959567ad75fad2e9767115e999959490dc499074
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size 5489
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runs/Nov27_05-21-44_934771ea7931/events.out.tfevents.1669526524.934771ea7931.76.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:b225e0406ca9d1aa6e7742eb531132a4c5e5e59aff43cfee096486ab069ab38c
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size 4261
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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:bd63d78a26ff5f501f958f98ea8ba6c7e99cf90733722c3fedd81c62266809fa
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size 3375
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