| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - rouge | |
| base_model: fnlp/bart-large-chinese | |
| model-index: | |
| - name: bart-large-chinese-cnhdwriter | |
| 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. --> | |
| # bart-large-chinese-cnhdwriter | |
| This model is a fine-tuned version of [fnlp/bart-large-chinese](https://huggingface.co/fnlp/bart-large-chinese) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 1.3859 | |
| - Rouge1: 16.8496 | |
| - Rouge2: 2.5548 | |
| - Rougel: 16.8123 | |
| - Rougelsum: 16.8056 | |
| - Gen Len: 18.9357 | |
| ## 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: 1 | |
| - eval_batch_size: 1 | |
| - 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 | | |
| |:-------------:|:-----:|:------:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:| | |
| | 1.2119 | 1.0 | 62716 | 1.1876 | 15.3858 | 2.1251 | 15.3709 | 15.3705 | 18.7269 | | |
| | 1.0847 | 2.0 | 125432 | 1.3353 | 13.7743 | 1.9047 | 13.7664 | 13.7421 | 18.6183 | | |
| | 0.6995 | 3.0 | 188148 | 1.2209 | 16.6797 | 2.3979 | 16.6258 | 16.6368 | 18.8953 | | |
| | 0.4819 | 4.0 | 250864 | 1.3859 | 16.8496 | 2.5548 | 16.8123 | 16.8056 | 18.9357 | | |
| ### Framework versions | |
| - Transformers 4.15.0 | |
| - Pytorch 1.10.0+cu111 | |
| - Datasets 1.17.0 | |
| - Tokenizers 0.10.3 | |