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Rud/bigbird_lora_multi_lexsum_4096
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metadata
license: apache-2.0
library_name: peft
tags:
  - generated_from_trainer
metrics:
  - rouge
base_model: google/bigbird-pegasus-large-bigpatent
model-index:
  - name: bigbird_lora_multi_lexsum_4096
    results: []

bigbird_lora_multi_lexsum_4096

This model is a fine-tuned version of google/bigbird-pegasus-large-bigpatent on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 6.4747
  • Rouge1: 0.2081
  • Rouge2: 0.0211
  • Rougel: 0.149
  • Rougelsum: 0.149
  • Gen Len: 238.0973

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: 2e-05
  • train_batch_size: 1
  • eval_batch_size: 1
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
7.0221 1.0 1301 6.6894 0.2067 0.0208 0.1466 0.1466 236.1568
6.6786 2.0 2602 6.4747 0.2081 0.0211 0.149 0.149 238.0973

Framework versions

  • PEFT 0.10.0
  • Transformers 4.38.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2