README.md

metadata

tags:
  - generated_from_trainer
datasets:
  - cnn_dailymail
metrics:
  - rouge
base_model: oMateos2020/pegasus-newsroom-cnn-adam8bit-bs16x64acc
model-index:
  - name: pegasus-newsroom-cnn-adam8bit-bs4x64acc_2
    results:
      - task:
          type: text2text-generation
          name: Sequence-to-sequence Language Modeling
        dataset:
          name: cnn_dailymail
          type: cnn_dailymail
          args: 3.0.0
        metrics:
          - type: rouge
            value: 44.2848
            name: Rouge1

pegasus-newsroom-cnn-adam8bit-bs4x64acc_2

This model is a fine-tuned version of oMateos2020/pegasus-newsroom-cnn-adam8bit-bs16x64acc on the cnn_dailymail dataset. It achieves the following results on the evaluation set:

• Loss: 2.8608
• Rouge1: 44.2848
• Rouge2: 21.5452
• Rougel: 31.3765
• Rougelsum: 41.2302
• Gen Len: 71.7744

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: 6.4e-05
• train_batch_size: 4
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 64
• total_train_batch_size: 256
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.4
• num_epochs: 1
• mixed_precision_training: Native AMP
• label_smoothing_factor: 0.1

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.9307	1.0	1121	2.8608	44.2848	21.5452	31.3765	41.2302	71.7744

Framework versions

• Transformers 4.20.1
• Pytorch 1.12.1+cu113
• Datasets 2.4.0
• Tokenizers 0.12.1