Upload folder using huggingface_hub
Browse files- config.json +42 -0
- optimizer.pt +3 -0
- preprocessor_config.json +22 -0
- pytorch_model.bin +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- trainer_state.json +361 -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": "European%20Starling%20-%20Invasive",
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"1": "Feral_pigeon%20%281%29",
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"2": "House%20sparrow%20%28Passer%20domesticus%29",
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"3": "Muscovy%20Duck",
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"4": "Non-invasive",
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"5": "bulbul",
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"6": "peacock"
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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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"European%20Starling%20-%20Invasive": "0",
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"Feral_pigeon%20%281%29": "1",
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"House%20sparrow%20%28Passer%20domesticus%29": "2",
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"Muscovy%20Duck": "3",
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"Non-invasive": "4",
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"bulbul": "5",
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"peacock": "6"
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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": "4.30.2"
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}
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optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:4f8a27f6a862bad746a576482c81720613cf5e1746739384df0b03b601c6a95b
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size 686549637
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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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"image_processor_type": "ViTFeatureExtractor",
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"image_std": [
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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 sha256:88322a18ddb4e834751dd9391746ef089ae85780ac64b9480aa88b0688bbf80b
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size 343284077
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rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:08d1f90efd2ec5917f1161087472df1d694f3bfb61fcf103c3c900b90c19e167
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size 14575
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scheduler.pt
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version https://git-lfs.github.com/spec/v1
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size 627
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trainer_state.json
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