README.md

metadata

tags:
  - generated_from_trainer
datasets:
  - samsum
metrics:
  - rouge
model-index:
  - name: pegasus-xsum-finetuned-samsum-v2
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: samsum
          type: samsum
          config: samsum
          split: train
          args: samsum
        metrics:
          - name: Rouge1
            type: rouge
            value: 48.6788

pegasus-xsum-finetuned-samsum-v2

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

• Loss: 1.5349
• Rouge1: 48.6788
• Rouge2: 24.4294
• Rougel: 40.7392
• Rougelsum: 44.5412
• Gen Len: 17.4976

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: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 8
• 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
1.7107	1.0	1841	1.5349	48.6788	24.4294	40.7392	44.5412	17.4976

Framework versions

• Transformers 4.24.0
• Pytorch 1.12.1+cu113
• Datasets 2.7.1
• Tokenizers 0.13.2