--- tags: - generated_from_trainer model-index: - name: rel-cl-lstm-1 results: [] --- # rel-cl-lstm-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: 3.9795 ## 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 | |:-------------:|:-----:|:-------:|:---------------:| | 4.8102 | 0.03 | 76319 | 4.7706 | | 4.5218 | 0.03 | 152638 | 4.4884 | | 4.3799 | 1.03 | 228957 | 4.3542 | | 4.2923 | 0.03 | 305276 | 4.2707 | | 4.2284 | 1.03 | 381595 | 4.2133 | | 4.1771 | 0.03 | 457914 | 4.1727 | | 4.1395 | 1.03 | 534233 | 4.1414 | | 4.1119 | 0.03 | 610552 | 4.1165 | | 4.0787 | 1.03 | 686871 | 4.0975 | | 4.0592 | 0.03 | 763190 | 4.0814 | | 4.0379 | 1.03 | 839509 | 4.0676 | | 4.0211 | 0.03 | 915828 | 4.0562 | | 4.0007 | 1.03 | 992147 | 4.0479 | | 3.9787 | 0.03 | 1068467 | 4.0382 | | 3.9644 | 1.03 | 1144787 | 4.0305 | | 3.9696 | 0.03 | 1221107 | 4.0242 | | 3.9515 | 1.03 | 1297427 | 4.0186 | | 3.9419 | 0.03 | 1373747 | 4.0144 | | 3.9319 | 1.03 | 1450067 | 4.0105 | | 3.9296 | 0.03 | 1526387 | 4.0071 | | 3.9249 | 1.03 | 1602707 | 4.0044 | | 3.9193 | 0.03 | 1679027 | 4.0014 | | 3.9168 | 1.03 | 1755347 | 3.9991 | | 3.9074 | 0.03 | 1831667 | 3.9962 | | 3.898 | 1.03 | 1907987 | 3.9941 | | 3.8886 | 0.03 | 1984307 | 3.9919 | | 3.8847 | 1.03 | 2060627 | 3.9900 | | 3.8811 | 0.03 | 2136947 | 3.9883 | | 3.8767 | 1.03 | 2213267 | 3.9873 | | 3.8694 | 0.03 | 2289587 | 3.9861 | | 3.8694 | 1.03 | 2365907 | 3.9850 | | 3.8694 | 0.03 | 2442227 | 3.9840 | | 3.8629 | 1.03 | 2518547 | 3.9831 | | 3.8586 | 0.03 | 2594867 | 3.9823 | | 3.8527 | 1.03 | 2671187 | 3.9817 | | 3.8568 | 0.03 | 2747507 | 3.9812 | | 3.855 | 0.03 | 2823827 | 3.9806 | | 3.8566 | 1.03 | 2900147 | 3.9801 | | 3.8583 | 0.03 | 2976467 | 3.9799 | | 3.8537 | 1.02 | 3052726 | 3.9795 | ### Framework versions - Transformers 4.33.3 - Pytorch 2.0.1 - Datasets 2.12.0 - Tokenizers 0.13.3