README.md

metadata

base_model: google/pegasus-x-large
tags:
  - summarization
  - generated_from_trainer
datasets:
  - samsum
metrics:
  - rouge
model-index:
  - name: pegasus-x-large-finetuned-samsum1000-1
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: samsum
          type: samsum
          config: samsum
          split: validation
          args: samsum
        metrics:
          - name: Rouge1
            type: rouge
            value: 47.1327

pegasus-x-large-finetuned-samsum1000-1

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

• Loss: 1.4703
• Rouge1: 47.1327
• Rouge2: 22.7028
• Rougel: 39.9245
• Rougelsum: 43.0906

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: 5.6e-05
• train_batch_size: 2
• eval_batch_size: 1
• 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
1.7687	1.0	500	1.4703	47.1327	22.7028	39.9245	43.0906

Framework versions

• Transformers 4.37.1
• Pytorch 2.1.0+cu121
• Datasets 2.16.1
• Tokenizers 0.15.1