bart-large
This model is a fine-tuned version for single sentence summarization of facebook/bart-large on the EdinburghNLP/XSum dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
Trained on 9k rows of data.
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0.1
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for reinforcementlucia/bart-large-xsum
Base model
facebook/bart-large