--- tags: - trl - sft - generated_from_trainer datasets: - generator model-index: - name: transformers results: [] --- # transformers This model was trained from scratch on the generator dataset. It achieves the following results on the evaluation set: - Loss: 0.0959 ## 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: 0.0002 - train_batch_size: 48 - eval_batch_size: 12 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - lr_scheduler_warmup_steps: 90 - training_steps: 906 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:------:|:----:|:---------------:| | 0.1489 | 0.6094 | 181 | 0.1426 | | 0.1299 | 1.2189 | 362 | 0.1197 | | 0.1036 | 1.8283 | 543 | 0.1043 | | 0.0999 | 2.4377 | 724 | 0.0975 | | 0.0868 | 3.0471 | 905 | 0.0959 | ### Framework versions - Transformers 4.41.1 - Pytorch 2.0.1+cu118 - Datasets 2.16.0 - Tokenizers 0.19.1