Instructions to use HorcruxNo13/beit-base-patch16-224-pt22k-ft22k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HorcruxNo13/beit-base-patch16-224-pt22k-ft22k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="HorcruxNo13/beit-base-patch16-224-pt22k-ft22k") 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("HorcruxNo13/beit-base-patch16-224-pt22k-ft22k") model = AutoModelForImageClassification.from_pretrained("HorcruxNo13/beit-base-patch16-224-pt22k-ft22k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "best_metric": 0.725, | |
| "best_model_checkpoint": "beit-base-patch16-224-pt22k-ft22k/checkpoint-16", | |
| "epoch": 3.0, | |
| "eval_steps": 500, | |
| "global_step": 24, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.275, | |
| "eval_loss": 2.470369815826416, | |
| "eval_runtime": 66.8165, | |
| "eval_samples_per_second": 3.592, | |
| "eval_steps_per_second": 0.12, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 1.25, | |
| "learning_rate": 0.03333333333333333, | |
| "loss": 8.3532, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.725, | |
| "eval_loss": 0.685380756855011, | |
| "eval_runtime": 3.4245, | |
| "eval_samples_per_second": 70.083, | |
| "eval_steps_per_second": 2.336, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 2.5, | |
| "learning_rate": 0.009523809523809525, | |
| "loss": 0.9363, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.725, | |
| "eval_loss": 0.6314295530319214, | |
| "eval_runtime": 3.2582, | |
| "eval_samples_per_second": 73.66, | |
| "eval_steps_per_second": 2.455, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "step": 24, | |
| "total_flos": 2.77880533604352e+17, | |
| "train_loss": 3.9848953088124595, | |
| "train_runtime": 321.3932, | |
| "train_samples_per_second": 9.334, | |
| "train_steps_per_second": 0.075 | |
| } | |
| ], | |
| "logging_steps": 10, | |
| "max_steps": 24, | |
| "num_train_epochs": 3, | |
| "save_steps": 500, | |
| "total_flos": 2.77880533604352e+17, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |