--- license: apache-2.0 base_model: allenai/led-base-16384 tags: - generated_from_trainer datasets: - big_patent metrics: - rouge model-index: - name: led-base-big-patent results: - task: name: Sequence-to-sequence Language Modeling type: text2text-generation dataset: name: big_patent type: big_patent config: g split: validation args: g metrics: - name: Rouge1 type: rouge value: 0.2606 --- # led-base-big-patent This model is a fine-tuned version of [allenai/led-base-16384](https://huggingface.co/allenai/led-base-16384) on the big_patent dataset. It achieves the following results on the evaluation set: - Loss: 0.2667 - Rouge1: 0.2606 - Rouge2: 0.0918 - Rougel: 0.2133 - Rougelsum: 0.2133 - Gen Len: 45.2637 ## 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: 4.892476e-05 - train_batch_size: 2 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 2 - total_train_batch_size: 4 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 3 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| | No log | 1.0 | 108 | 0.2910 | 0.2174 | 0.0657 | 0.18 | 0.1801 | 89.5165 | | No log | 2.0 | 216 | 0.2599 | 0.2618 | 0.0902 | 0.2138 | 0.2128 | 47.0879 | | No log | 3.0 | 324 | 0.2667 | 0.2606 | 0.0918 | 0.2133 | 0.2133 | 45.2637 | ### Framework versions - Transformers 4.38.2 - Pytorch 2.2.1+cu121 - Datasets 2.18.0 - Tokenizers 0.15.2