bart-large-xsum-tweetsum
This model is a fine-tuned version of facebook/bart-large-xsum on the Andyrasika/TweetSumm-tuned dataset. It achieves the following results on the evaluation set:
- Loss: 1.9921
- Rouge1: 46.1359
- Rouge2: 20.5196
- Rougel: 38.6353
- Rougelsum: 41.9642
- Gen Len: 45.1
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: 3.0
Training results
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for samuellimabraz/bart-large-xsum-tweetsum
Base model
facebook/bart-large-xsumDataset used to train samuellimabraz/bart-large-xsum-tweetsum
Evaluation results
- Rouge1 on Andyrasika/TweetSumm-tunedself-reported46.136