---
base_model: ubaada/lsg-bart-large-4096-booksum
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: lsg-bart-large-4096-booksum
  results: []
datasets:
- ubaada/booksum-complete-cleaned
---


# lsg-bart-large-4096-booksum

This model is a fine-tuned version of [ubaada/lsg-bart-large-4096-booksum](https://huggingface.co/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