| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| base_model: hyesunyun/update-summarization-bart-large-longformer | |
| model-index: | |
| - name: TextRank_Longformer | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # TextRank_Longformer | |
| This model is a fine-tuned version of [hyesunyun/update-summarization-bart-large-longformer](https://huggingface.co/hyesunyun/update-summarization-bart-large-longformer) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - eval_loss: 2.7145 | |
| - eval_rouge1: 17.8877 | |
| - eval_rouge2: 4.4572 | |
| - eval_rougeL: 12.5184 | |
| - eval_rougeLsum: 13.8276 | |
| - eval_gen_len: 108.16 | |
| - eval_runtime: 224.8675 | |
| - eval_samples_per_second: 0.111 | |
| - eval_steps_per_second: 0.111 | |
| - epoch: 0.18 | |
| - step: 11 | |
| ## 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: 1 | |
| - eval_batch_size: 1 | |
| - seed: 42 | |
| - gradient_accumulation_steps: 4 | |
| - total_train_batch_size: 4 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 1 | |
| - mixed_precision_training: Native AMP | |
| ### Framework versions | |
| - Transformers 4.29.2 | |
| - Pytorch 2.0.1+cu118 | |
| - Datasets 2.12.0 | |
| - Tokenizers 0.13.3 | |