My BookSum Models
Collection
Trained on ubaada/booksum-complete-cleaned dataset. • 4 items • Updated
lsg-bart-large-4096-booksum
This model is a fine-tuned version of ubaada/lsg-bart-large-4096-booksum on an ubaada/booksum-complete-cleaned dataset. Validation Loss (Subset of validation dataset) Loss: 2.0742
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: 8e-05
- train_batch_size: 8
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.0
- Datasets 2.19.1
- Tokenizers 0.19.1
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