--- tags: - generated_from_trainer model-index: - name: det-noun-lstm-4 results: [] --- # det-noun-lstm-4 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: 3.9719 ## 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: 4 - 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 | |:-------------:|:-----:|:-------:|:---------------:| | 4.8017 | 0.03 | 76320 | 4.7666 | | 4.5163 | 1.03 | 152640 | 4.4850 | | 4.3691 | 0.03 | 228960 | 4.3481 | | 4.2822 | 1.03 | 305280 | 4.2648 | | 4.2214 | 0.03 | 381600 | 4.2067 | | 4.1738 | 1.03 | 457920 | 4.1648 | | 4.1346 | 0.03 | 534240 | 4.1335 | | 4.0994 | 1.03 | 610560 | 4.1086 | | 4.0717 | 0.03 | 686880 | 4.0880 | | 4.0442 | 1.03 | 763200 | 4.0724 | | 4.0257 | 0.03 | 839520 | 4.0599 | | 4.0076 | 1.03 | 915840 | 4.0482 | | 3.9916 | 0.03 | 992160 | 4.0389 | | 3.9715 | 0.03 | 1068480 | 4.0308 | | 3.96 | 1.03 | 1144800 | 4.0236 | | 3.9543 | 0.03 | 1221120 | 4.0178 | | 3.942 | 1.03 | 1297440 | 4.0123 | | 3.9331 | 0.03 | 1373760 | 4.0075 | | 3.9207 | 1.03 | 1450080 | 4.0036 | | 3.9177 | 0.03 | 1526400 | 4.0000 | | 3.9148 | 1.03 | 1602720 | 3.9964 | | 3.9113 | 0.03 | 1679040 | 3.9938 | | 3.9051 | 1.03 | 1755360 | 3.9917 | | 3.8958 | 0.03 | 1831680 | 3.9896 | | 3.888 | 1.03 | 1908000 | 3.9873 | | 3.8823 | 0.03 | 1984320 | 3.9855 | | 3.8771 | 0.03 | 2060640 | 3.9836 | | 3.871 | 1.03 | 2136960 | 3.9821 | | 3.8663 | 0.03 | 2213280 | 3.9807 | | 3.8558 | 1.03 | 2289600 | 3.9791 | | 3.853 | 0.03 | 2365920 | 3.9776 | | 3.8596 | 1.03 | 2442240 | 3.9766 | | 3.8526 | 0.03 | 2518560 | 3.9758 | | 3.8496 | 1.03 | 2594880 | 3.9751 | | 3.8438 | 0.03 | 2671200 | 3.9745 | | 3.8452 | 1.03 | 2747520 | 3.9738 | | 3.8491 | 0.03 | 2823840 | 3.9733 | | 3.8485 | 1.03 | 2900160 | 3.9728 | | 3.8481 | 0.03 | 2976480 | 3.9722 | | 3.8418 | 1.02 | 3052726 | 3.9719 | ### Framework versions - Transformers 4.33.3 - Pytorch 2.0.1 - Datasets 2.12.0 - Tokenizers 0.13.3