--- tags: - generated_from_trainer model-index: - name: passive-transformer-1 results: [] --- # passive-transformer-1 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: 3.8708 ## 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: 1 - 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 | |:-------------:|:-----:|:-------:|:---------------:| | 4.2233 | 0.03 | 76320 | 4.2009 | | 4.0186 | 1.03 | 152640 | 4.0327 | | 3.9093 | 0.03 | 228960 | 3.9579 | | 3.8464 | 0.03 | 305280 | 3.9175 | | 3.7922 | 1.03 | 381600 | 3.8925 | | 3.7538 | 0.03 | 457920 | 3.8767 | | 3.7207 | 1.03 | 534240 | 3.8663 | | 3.6892 | 0.03 | 610560 | 3.8588 | | 3.6577 | 0.03 | 686880 | 3.8554 | | 3.6329 | 0.03 | 763200 | 3.8524 | | 3.6085 | 0.03 | 839520 | 3.8515 | | 3.5871 | 1.03 | 915840 | 3.8497 | | 3.5675 | 0.03 | 992160 | 3.8501 | | 3.5461 | 0.03 | 1068480 | 3.8502 | | 3.5295 | 1.03 | 1144800 | 3.8507 | | 3.5249 | 0.03 | 1221120 | 3.8521 | | 3.5096 | 1.03 | 1297440 | 3.8524 | | 3.4973 | 0.03 | 1373760 | 3.8528 | | 3.4814 | 1.03 | 1450080 | 3.8544 | | 3.4748 | 0.03 | 1526400 | 3.8569 | | 3.466 | 1.03 | 1602720 | 3.8589 | | 3.4584 | 0.03 | 1679040 | 3.8598 | | 3.4465 | 1.03 | 1755360 | 3.8605 | | 3.4372 | 0.03 | 1831680 | 3.8623 | | 3.4203 | 1.03 | 1908000 | 3.8628 | | 3.4095 | 0.03 | 1984320 | 3.8649 | | 3.3955 | 1.03 | 2060640 | 3.8660 | | 3.385 | 0.03 | 2136960 | 3.8678 | | 3.3718 | 1.03 | 2213280 | 3.8686 | | 3.3586 | 0.03 | 2289600 | 3.8694 | | 3.3473 | 1.03 | 2365920 | 3.8713 | | 3.3472 | 0.03 | 2442240 | 3.8706 | | 3.3381 | 1.03 | 2518560 | 3.8725 | | 3.3276 | 0.03 | 2594880 | 3.8720 | | 3.3171 | 0.03 | 2671200 | 3.8721 | | 3.3129 | 0.03 | 2747520 | 3.8727 | | 3.3068 | 1.03 | 2823840 | 3.8731 | | 3.3017 | 0.03 | 2900160 | 3.8719 | | 3.2974 | 1.03 | 2976480 | 3.8718 | | 3.2884 | 0.02 | 3052726 | 3.8708 | ### Framework versions - Transformers 4.33.3 - Pytorch 2.0.1 - Datasets 2.12.0 - Tokenizers 0.13.3