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pegasus-finetuned-samsum

Summarization
Transformers
Safetensors
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pegasus
text2text-generation
Generated from Trainer
Eval Results
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pegasus-finetuned-samsum / README.md
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metadata
library_name: transformers
base_model: google/pegasus-cnn_dailymail
tags:
  - generated_from_trainer
datasets:
  - samsum
model-index:
  - name: pegasus-finetuned-samsum
    results: []

pegasus-finetuned-samsum

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

  • Loss: 1.4245

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: 5e-05
  • train_batch_size: 1
  • eval_batch_size: 1
  • seed: 42
  • gradient_accumulation_steps: 16
  • total_train_batch_size: 16
  • optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 1
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
1.5798 0.9992 920 1.4245

Framework versions

  • Transformers 4.50.3
  • Pytorch 2.6.0+cu124
  • Datasets 3.5.0
  • Tokenizers 0.21.1