| | --- |
| | license: apache-2.0 |
| | tags: |
| | - summarization |
| | metrics: |
| | - rouge |
| | model-index: |
| | - name: POCTS |
| | results: |
| | - task: |
| | name: Summarization |
| | type: summarization |
| | metrics: |
| | - name: Rouge1 |
| | type: rouge |
| | value: 26.1391 |
| | --- |
| | |
| | <!-- 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. --> |
| |
|
| | # POCTS |
| |
|
| | This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 3.0970 |
| | - Rouge1: 26.1391 |
| | - Rouge2: 7.3101 |
| | - Rougel: 19.1217 |
| | - Rougelsum: 21.9706 |
| | - Gen Len: 46.2245 |
| |
|
| | ## 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 |
| | - lr_scheduler_warmup_ratio: 0.15 |
| | - num_epochs: 3.0 |
| | - mixed_precision_training: Native AMP |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
| | |:-------------:|:-----:|:------:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:| |
| | | 3.3259 | 1.0 | 33875 | 3.2535 | 17.942 | 4.5143 | 14.2766 | 15.582 | 19.3901 | |
| | | 2.9764 | 2.0 | 67750 | 3.1278 | 18.6558 | 5.1844 | 15.0939 | 16.3367 | 19.9174 | |
| | | 2.5889 | 3.0 | 101625 | 3.0970 | 19.1763 | 5.4517 | 15.5342 | 16.7186 | 19.8855 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.10.2 |
| | - Pytorch 1.7.1+cu110 |
| | - Datasets 1.11.0 |
| | - Tokenizers 0.10.3 |
| | |
