results
This model is a fine-tuned version of sshleifer/distilbart-xsum-12-3 on the wiki_lingua dataset. It achieves the following results on the evaluation set:
- Loss: 7.4393
- Rouge1: 16.9502
- Rouge2: 1.9608
- Rougel: 15.0983
- Rougelsum: 16.9502
- Gen Len: 19.3333
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_steps: 500
- num_epochs: 1
- label_smoothing_factor: 0.1
Training results
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
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Dataset used to train Bigdwarf43/results
Evaluation results
- Rouge1 on wiki_linguaself-reported16.950