Edit model card

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
Downloads last month
6
Safetensors
Model size
413M params
Tensor type
F32
·
Inference Examples
Inference API (serverless) does not yet support model repos that contain custom code.

Model tree for ubaada/lsg-bart-large-4096-booksum

Unable to build the model tree, the base model loops to the model itself. Learn more.

Dataset used to train ubaada/lsg-bart-large-4096-booksum

Collection including ubaada/lsg-bart-large-4096-booksum