| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: bert2bert-cnn_dailymail-fp16-finetuned-1.0.0 | |
| 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. --> | |
| # bert2bert-cnn_dailymail-fp16-finetuned-1.0.0 | |
| This model is a fine-tuned version of [patrickvonplaten/bert2bert-cnn_dailymail-fp16](https://huggingface.co/patrickvonplaten/bert2bert-cnn_dailymail-fp16) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - eval_loss: 2.4478 | |
| - eval_rouge1: 45.3108 | |
| - eval_rouge2: 18.3254 | |
| - eval_rougeL: 29.71 | |
| - eval_rougeLsum: 41.2888 | |
| - eval_runtime: 15495.5669 | |
| - eval_samples_per_second: 0.038 | |
| - eval_steps_per_second: 0.009 | |
| - epoch: 1.0 | |
| - step: 586 | |
| ## 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: 4 | |
| - eval_batch_size: 4 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 2 | |
| ### Framework versions | |
| - Transformers 4.26.1 | |
| - Pytorch 1.13.1 | |
| - Datasets 2.10.0 | |
| - Tokenizers 0.13.2 | |