--- tags: - generated_from_trainer model-index: - name: npi-only-transformer-2 results: [] --- # npi-only-transformer-2 This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset. It achieves the following results on the evaluation set: - Loss: 3.8616 ## 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: 5e-05 - train_batch_size: 32 - eval_batch_size: 32 - seed: 2 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - training_steps: 3052726 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:-------:|:---------------:| | 4.2265 | 0.03 | 76320 | 4.1999 | | 4.0215 | 1.03 | 152640 | 4.0292 | | 3.9133 | 0.03 | 228960 | 3.9544 | | 3.8411 | 1.03 | 305280 | 3.9125 | | 3.7911 | 0.03 | 381600 | 3.8867 | | 3.7507 | 1.03 | 457920 | 3.8704 | | 3.7187 | 0.03 | 534240 | 3.8599 | | 3.6904 | 1.03 | 610560 | 3.8540 | | 3.6628 | 0.03 | 686880 | 3.8482 | | 3.6345 | 1.03 | 763200 | 3.8461 | | 3.6098 | 0.03 | 839520 | 3.8440 | | 3.5897 | 1.03 | 915840 | 3.8438 | | 3.572 | 0.03 | 992160 | 3.8438 | | 3.5528 | 1.03 | 1068480 | 3.8441 | | 3.5343 | 0.03 | 1144800 | 3.8445 | | 3.5293 | 1.03 | 1221120 | 3.8463 | | 3.5111 | 0.03 | 1297440 | 3.8466 | | 3.499 | 1.03 | 1373760 | 3.8482 | | 3.4854 | 0.03 | 1450080 | 3.8505 | | 3.4724 | 0.03 | 1526400 | 3.8520 | | 3.4654 | 1.03 | 1602720 | 3.8540 | | 3.455 | 0.03 | 1679040 | 3.8551 | | 3.4482 | 1.03 | 1755360 | 3.8560 | | 3.4398 | 0.03 | 1831680 | 3.8573 | | 3.4268 | 1.03 | 1908000 | 3.8586 | | 3.4123 | 0.03 | 1984320 | 3.8589 | | 3.3989 | 0.03 | 2060640 | 3.8610 | | 3.3867 | 1.03 | 2136960 | 3.8618 | | 3.3755 | 0.03 | 2213280 | 3.8635 | | 3.364 | 1.03 | 2289600 | 3.8636 | | 3.3533 | 0.03 | 2365920 | 3.8637 | | 3.3544 | 0.03 | 2442240 | 3.8637 | | 3.3405 | 1.03 | 2518560 | 3.8649 | | 3.3325 | 0.03 | 2594880 | 3.8654 | | 3.3219 | 1.03 | 2671200 | 3.8645 | | 3.3145 | 0.03 | 2747520 | 3.8646 | | 3.3084 | 1.03 | 2823840 | 3.8649 | | 3.3026 | 0.03 | 2900160 | 3.8641 | | 3.299 | 1.03 | 2976480 | 3.8632 | | 3.2939 | 0.02 | 3052726 | 3.8616 | ### Framework versions - Transformers 4.33.3 - Pytorch 2.0.1 - Datasets 2.12.0 - Tokenizers 0.13.3