| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - rouge | |
| model-index: | |
| - name: bert-base-cnn-ft | |
| 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. --> | |
| # bert-base-cnn-ft | |
| This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.0014 | |
| - Rouge1: 0.0294 | |
| - Rouge2: 0.0002 | |
| - Rougel: 0.0284 | |
| - Rougelsum: 0.0284 | |
| - Gen Len: 60.0 | |
| ## 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: 1e-05 | |
| - train_batch_size: 12 | |
| - eval_batch_size: 12 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - lr_scheduler_warmup_steps: 1 | |
| - training_steps: 200 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | | |
| |:-------------:|:------:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| | |
| | 1.0352 | 0.0167 | 100 | 0.0099 | 0.0352 | 0.0002 | 0.0308 | 0.0308 | 60.0 | | |
| | 0.0124 | 0.0334 | 200 | 0.0014 | 0.0294 | 0.0002 | 0.0284 | 0.0284 | 60.0 | | |
| ### Framework versions | |
| - Transformers 4.40.1 | |
| - Pytorch 2.2.1+cu121 | |
| - Datasets 2.19.0 | |
| - Tokenizers 0.19.1 | |