Instructions to use gary2002/output_dir with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gary2002/output_dir with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="gary2002/output_dir") 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("gary2002/output_dir") model = AutoModelForImageClassification.from_pretrained("gary2002/output_dir") - Notebooks
- Google Colab
- Kaggle
| { | |
| "best_metric": 0.9876543209876543, | |
| "best_model_checkpoint": "/content/drive/MyDrive/graduate_design/ViT_train_pictures/output_dir/checkpoint-73", | |
| "epoch": 3.0, | |
| "eval_steps": 500, | |
| "global_step": 219, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.9876543209876543, | |
| "eval_loss": 0.8449140191078186, | |
| "eval_runtime": 4.0408, | |
| "eval_samples_per_second": 20.045, | |
| "eval_steps_per_second": 5.197, | |
| "step": 73 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.9876543209876543, | |
| "eval_loss": 0.5911225080490112, | |
| "eval_runtime": 4.5389, | |
| "eval_samples_per_second": 17.846, | |
| "eval_steps_per_second": 4.627, | |
| "step": 146 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.9876543209876543, | |
| "eval_loss": 0.5122054219245911, | |
| "eval_runtime": 4.2151, | |
| "eval_samples_per_second": 19.217, | |
| "eval_steps_per_second": 4.982, | |
| "step": 219 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "step": 219, | |
| "total_flos": 1.6948561394167603e+17, | |
| "train_loss": 0.7343477571391623, | |
| "train_runtime": 162.6903, | |
| "train_samples_per_second": 13.443, | |
| "train_steps_per_second": 1.346 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 219, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 3, | |
| "save_steps": 500, | |
| "total_flos": 1.6948561394167603e+17, | |
| "train_batch_size": 10, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |