--- license: apache-2.0 base_model: t5-small tags: - generated_from_trainer datasets: - boolq metrics: - rouge model-index: - name: pal_team_tfq_generation results: - task: name: Sequence-to-sequence Language Modeling type: text2text-generation dataset: name: boolq type: boolq config: default split: validation args: default metrics: - name: Rouge1 type: rouge value: 0.3793 --- # pal_team_tfq_generation This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the boolq dataset. It achieves the following results on the evaluation set: - Loss: 1.8807 - Rouge1: 0.3793 - Rouge2: 0.1737 - Rougel: 0.3534 - Rougelsum: 0.3535 - Gen Len: 12.7453 ## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 4 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| | 2.4543 | 1.0 | 1179 | 2.0285 | 0.3608 | 0.1524 | 0.3326 | 0.3326 | 12.3572 | | 2.2496 | 2.0 | 2358 | 1.9305 | 0.3706 | 0.163 | 0.343 | 0.3432 | 12.7278 | | 2.1221 | 3.0 | 3537 | 1.8922 | 0.3779 | 0.1725 | 0.3516 | 0.3519 | 12.6859 | | 2.1428 | 4.0 | 4716 | 1.8807 | 0.3793 | 0.1737 | 0.3534 | 0.3535 | 12.7453 | ### Framework versions - Transformers 4.35.2 - Pytorch 2.1.0+cu118 - Datasets 2.15.0 - Tokenizers 0.15.0