--- license: apache-2.0 base_model: casual/nlp_til tags: - generated_from_trainer metrics: - precision - recall - f1 - accuracy model-index: - name: nlp_til2 results: [] --- # nlp_til2 This model is a fine-tuned version of [casual/nlp_til](https://huggingface.co/casual/nlp_til) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.0989 - Precision: 0.7550 - Recall: 0.7387 - F1: 0.7468 - Accuracy: 0.9573 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 2e-05 - train_batch_size: 16 - eval_batch_size: 16 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 18 ### Training results | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| | No log | 1.0 | 219 | 0.2111 | 0.4478 | 0.5230 | 0.4825 | 0.8922 | | No log | 2.0 | 438 | 0.1953 | 0.4984 | 0.5128 | 0.5055 | 0.9040 | | 0.2163 | 3.0 | 657 | 0.1886 | 0.5210 | 0.5660 | 0.5426 | 0.9095 | | 0.2163 | 4.0 | 876 | 0.1809 | 0.5432 | 0.5988 | 0.5696 | 0.9142 | | 0.2056 | 5.0 | 1095 | 0.1692 | 0.5758 | 0.6142 | 0.5944 | 0.9207 | | 0.2056 | 6.0 | 1314 | 0.1625 | 0.5889 | 0.6232 | 0.6056 | 0.9247 | | 0.188 | 7.0 | 1533 | 0.1510 | 0.6315 | 0.5979 | 0.6142 | 0.9317 | | 0.188 | 8.0 | 1752 | 0.1405 | 0.6625 | 0.6341 | 0.6480 | 0.9373 | | 0.188 | 9.0 | 1971 | 0.1341 | 0.6665 | 0.6576 | 0.6620 | 0.9399 | | 0.1716 | 10.0 | 2190 | 0.1305 | 0.6594 | 0.6954 | 0.6769 | 0.9409 | | 0.1716 | 11.0 | 2409 | 0.1221 | 0.6931 | 0.6897 | 0.6914 | 0.9455 | | 0.1565 | 12.0 | 2628 | 0.1185 | 0.6970 | 0.7239 | 0.7102 | 0.9477 | | 0.1565 | 13.0 | 2847 | 0.1082 | 0.7336 | 0.7087 | 0.7210 | 0.9523 | | 0.1459 | 14.0 | 3066 | 0.1079 | 0.7323 | 0.7302 | 0.7312 | 0.9532 | | 0.1459 | 15.0 | 3285 | 0.1039 | 0.7325 | 0.7251 | 0.7287 | 0.9542 | | 0.1419 | 16.0 | 3504 | 0.1030 | 0.7389 | 0.7484 | 0.7436 | 0.9557 | | 0.1419 | 17.0 | 3723 | 0.1001 | 0.7487 | 0.7414 | 0.7450 | 0.9565 | | 0.1419 | 18.0 | 3942 | 0.0989 | 0.7550 | 0.7387 | 0.7468 | 0.9573 | ### Framework versions - Transformers 4.40.2 - Pytorch 2.0.1+cu117 - Datasets 2.19.1 - Tokenizers 0.19.1