sohamchougule's picture
update model card README.md
8008d0b
metadata
tags:
  - generated_from_trainer
datasets:
  - aeslc
metrics:
  - rouge
model-index:
  - name: pegasus-large-finetuned-aeslc
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: aeslc
          type: aeslc
          config: default
          split: validation
          args: default
        metrics:
          - name: Rouge1
            type: rouge
            value: 32.9341

pegasus-large-finetuned-aeslc

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

  • Loss: 3.0274
  • Rouge1: 32.9341
  • Rouge2: 17.7876
  • Rougel: 32.0858
  • Rougelsum: 32.0886
  • Gen Len: 11.6577

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

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
3.3247 1.0 7218 3.0274 32.9341 17.7876 32.0858 32.0886 11.6577

Framework versions

  • Transformers 4.27.4
  • Pytorch 2.0.0+cu118
  • Datasets 2.11.0
  • Tokenizers 0.13.3