Upload folder using huggingface_hub
Browse files- all_results.json +8 -0
- checkpoint-500/config.json +42 -0
- checkpoint-500/optimizer.pt +3 -0
- checkpoint-500/preprocessor_config.json +22 -0
- checkpoint-500/pytorch_model.bin +3 -0
- checkpoint-500/rng_state.pth +3 -0
- checkpoint-500/scheduler.pt +3 -0
- checkpoint-500/trainer_state.json +361 -0
- checkpoint-500/training_args.bin +3 -0
- checkpoint-600/config.json +42 -0
- checkpoint-600/optimizer.pt +3 -0
- checkpoint-600/preprocessor_config.json +22 -0
- checkpoint-600/pytorch_model.bin +3 -0
- checkpoint-600/rng_state.pth +3 -0
- checkpoint-600/scheduler.pt +3 -0
- checkpoint-600/trainer_state.json +430 -0
- checkpoint-600/training_args.bin +3 -0
- config.json +42 -0
- preprocessor_config.json +22 -0
- pytorch_model.bin +3 -0
- runs/Jun21_15-46-26_cd1059c26c31/events.out.tfevents.1687362391.cd1059c26c31.547.0 +3 -0
- runs/Jun21_15-48-40_cd1059c26c31/events.out.tfevents.1687362521.cd1059c26c31.547.1 +3 -0
- runs/Jun21_15-49-12_cd1059c26c31/events.out.tfevents.1687362553.cd1059c26c31.547.2 +3 -0
- train_results.json +8 -0
- trainer_state.json +475 -0
- training_args.bin +3 -0
all_results.json
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{
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"epoch": 4.0,
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"total_flos": 8.220718640312156e+17,
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"train_loss": 0.1065347370164222,
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"train_runtime": 522.7169,
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"train_samples_per_second": 20.294,
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"train_steps_per_second": 1.27
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}
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checkpoint-500/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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"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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"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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"image_size": 224,
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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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checkpoint-500/optimizer.pt
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checkpoint-500/preprocessor_config.json
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checkpoint-500/pytorch_model.bin
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checkpoint-500/rng_state.pth
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checkpoint-500/scheduler.pt
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checkpoint-500/trainer_state.json
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