Instructions to use jvadlamudi2/convnext-tiny-224-jvadlamudi2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jvadlamudi2/convnext-tiny-224-jvadlamudi2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="jvadlamudi2/convnext-tiny-224-jvadlamudi2") 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("jvadlamudi2/convnext-tiny-224-jvadlamudi2") model = AutoModelForImageClassification.from_pretrained("jvadlamudi2/convnext-tiny-224-jvadlamudi2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "best_metric": 0.7946428571428571, | |
| "best_model_checkpoint": "convnext-tiny-224-jvadlamudi2/checkpoint-14", | |
| "epoch": 3.0, | |
| "global_step": 21, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.7678571428571429, | |
| "eval_loss": 0.6085006594657898, | |
| "eval_runtime": 0.7752, | |
| "eval_samples_per_second": 144.48, | |
| "eval_steps_per_second": 5.16, | |
| "step": 7 | |
| }, | |
| { | |
| "epoch": 1.43, | |
| "learning_rate": 3.055555555555556e-05, | |
| "loss": 0.6388, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.7946428571428571, | |
| "eval_loss": 0.5984492897987366, | |
| "eval_runtime": 0.82, | |
| "eval_samples_per_second": 136.58, | |
| "eval_steps_per_second": 4.878, | |
| "step": 14 | |
| }, | |
| { | |
| "epoch": 2.86, | |
| "learning_rate": 2.777777777777778e-06, | |
| "loss": 0.6218, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.7857142857142857, | |
| "eval_loss": 0.5960062742233276, | |
| "eval_runtime": 0.8803, | |
| "eval_samples_per_second": 127.229, | |
| "eval_steps_per_second": 4.544, | |
| "step": 21 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "step": 21, | |
| "total_flos": 6.716617754447462e+16, | |
| "train_loss": 0.630237170628139, | |
| "train_runtime": 87.2731, | |
| "train_samples_per_second": 30.628, | |
| "train_steps_per_second": 0.241 | |
| } | |
| ], | |
| "max_steps": 21, | |
| "num_train_epochs": 3, | |
| "total_flos": 6.716617754447462e+16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |