--- library_name: transformers base_model: zera09/custom-longt5-with-ts tags: - generated_from_trainer model-index: - name: segment_mask_token results: [] --- # segment_mask_token This model is a fine-tuned version of [zera09/custom-longt5-with-ts](https://huggingface.co/zera09/custom-longt5-with-ts) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.0534 ## 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: 2e-05 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - num_epochs: 20 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | No log | 1.0 | 72 | 4.5285 | | 22.2051 | 2.0 | 144 | 0.8669 | | 1.706 | 3.0 | 216 | 0.3556 | | 1.706 | 4.0 | 288 | 0.1894 | | 0.5941 | 5.0 | 360 | 0.1507 | | 0.4187 | 6.0 | 432 | 0.1210 | | 0.3811 | 7.0 | 504 | 0.0993 | | 0.3811 | 8.0 | 576 | 0.0951 | | 0.2151 | 9.0 | 648 | 0.0768 | | 0.1378 | 10.0 | 720 | 0.0748 | | 0.1378 | 11.0 | 792 | 0.0650 | | 0.093 | 12.0 | 864 | 0.0660 | | 0.0965 | 13.0 | 936 | 0.0632 | | 0.0839 | 14.0 | 1008 | 0.0562 | | 0.0839 | 15.0 | 1080 | 0.0576 | | 0.0834 | 16.0 | 1152 | 0.0569 | | 0.0795 | 17.0 | 1224 | 0.0560 | | 0.0795 | 18.0 | 1296 | 0.0524 | | 0.0752 | 19.0 | 1368 | 0.0539 | | 0.1185 | 20.0 | 1440 | 0.0534 | ### Framework versions - Transformers 4.47.1 - Pytorch 2.5.1+cu124 - Datasets 3.2.0 - Tokenizers 0.21.0