Image Classification
Transformers
TensorBoard
Safetensors
swin
Generated from Trainer
Eval Results (legacy)
Instructions to use judith0/v1-ineClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use judith0/v1-ineClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="judith0/v1-ineClassification") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("judith0/v1-ineClassification") model = AutoModelForImageClassification.from_pretrained("judith0/v1-ineClassification") - Notebooks
- Google Colab
- Kaggle
| { | |
| "best_metric": 1.0, | |
| "best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-eurosat/checkpoint-18", | |
| "epoch": 2.6666666666666665, | |
| "eval_steps": 500, | |
| "global_step": 18, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.89, | |
| "eval_accuracy": 0.8936170212765957, | |
| "eval_loss": 0.5324654579162598, | |
| "eval_runtime": 1.6047, | |
| "eval_samples_per_second": 58.579, | |
| "eval_steps_per_second": 1.87, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 1.48, | |
| "learning_rate": 2.5e-05, | |
| "loss": 0.833, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 1.93, | |
| "eval_accuracy": 0.9787234042553191, | |
| "eval_loss": 0.1850063055753708, | |
| "eval_runtime": 1.5838, | |
| "eval_samples_per_second": 59.351, | |
| "eval_steps_per_second": 1.894, | |
| "step": 13 | |
| }, | |
| { | |
| "epoch": 2.67, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.14300867915153503, | |
| "eval_runtime": 1.5727, | |
| "eval_samples_per_second": 59.77, | |
| "eval_steps_per_second": 1.908, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 2.67, | |
| "step": 18, | |
| "total_flos": 5.602853014327296e+16, | |
| "train_loss": 0.5781932274500529, | |
| "train_runtime": 62.8399, | |
| "train_samples_per_second": 40.054, | |
| "train_steps_per_second": 0.286 | |
| } | |
| ], | |
| "logging_steps": 10, | |
| "max_steps": 18, | |
| "num_train_epochs": 3, | |
| "save_steps": 500, | |
| "total_flos": 5.602853014327296e+16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |