Instructions to use Deehan1866/PR-pass-structbert-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Deehan1866/PR-pass-structbert-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Deehan1866/PR-pass-structbert-large")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Deehan1866/PR-pass-structbert-large") model = AutoModelForQuestionAnswering.from_pretrained("Deehan1866/PR-pass-structbert-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 2.0, | |
| "eval_exact_match": 93.7, | |
| "eval_f1": 95.25543995859213, | |
| "eval_samples": 3013, | |
| "predict_samples": 5032, | |
| "test_exact_match": 93.72, | |
| "test_f1": 95.25552099591228, | |
| "total_flos": 3.763306473501082e+16, | |
| "train_loss": 0.339278704556278, | |
| "train_runtime": 7807.973, | |
| "train_samples": 20261, | |
| "train_samples_per_second": 5.19, | |
| "train_steps_per_second": 0.649 | |
| } |