Instructions to use israel/testing_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use israel/testing_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="israel/testing_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("israel/testing_model") model = AutoModelForSequenceClassification.from_pretrained("israel/testing_model") - Notebooks
- Google Colab
- Kaggle
| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 5.0, | |
| "global_step": 935, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 2.67, | |
| "learning_rate": 2.32620320855615e-05, | |
| "loss": 1.0352, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "step": 935, | |
| "total_flos": 1968088364605440.0, | |
| "train_loss": 1.0310750216723763, | |
| "train_runtime": 163.2592, | |
| "train_samples_per_second": 183.267, | |
| "train_steps_per_second": 5.727 | |
| } | |
| ], | |
| "max_steps": 935, | |
| "num_train_epochs": 5, | |
| "total_flos": 1968088364605440.0, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |