| license: apache-2.0 | |
| library_name: transformers | |
| tags: | |
| - text-classification | |
| - experiment | |
| # BestCheckpoint Model | |
| This model was selected as the best checkpoint from a series of hyperparameter search experiments. It achieved the highest validation F1 score across all runs. | |
| ## Training Details | |
| | Hyperparameter | Value | | |
| |---|---| | |
| | Best Run | run_swift_hawk | | |
| | Validation F1 | 0.891 | | |
| | Validation Loss | 0.287 | | |
| | Epoch | 7 | | |
| | Learning Rate | 2e-05 | | |
| ## Evaluation | |
| The model was evaluated on a held-out validation set. The primary selection criterion was `val_f1`. | |
| ## Usage | |
| ```python | |
| from transformers import AutoModelForSequenceClassification, AutoTokenizer | |
| model = AutoModelForSequenceClassification.from_pretrained("BestCheckpoint-ExpRepo") | |
| tokenizer = AutoTokenizer.from_pretrained("BestCheckpoint-ExpRepo") | |
| ``` | |
| ## Limitations | |
| This model was trained for research purposes and may not generalize well to all domains. | |
| ## License | |
| This model is released under the Apache 2.0 license. | |