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metadata
license: apache-2.0
base_model: sshleifer/distilbart-cnn-12-6
tags:
  - generated_from_trainer
model-index:
  - name: imarri01-huggingface
    results: []

imarri01-huggingface

This model is a fine-tuned version of sshleifer/distilbart-cnn-12-6 on the None dataset. It achieves the following results on the evaluation set:

  • eval_loss: 3.8916
  • eval_rouge1: 0.2209
  • eval_rouge2: 0.0472
  • eval_rougeL: 0.1375
  • eval_rougeLsum: 0.1894
  • eval_runtime: 413.4048
  • eval_samples_per_second: 0.121
  • eval_steps_per_second: 0.017
  • step: 0

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: 32
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5
  • mixed_precision_training: Native AMP

Framework versions

  • Transformers 4.42.3
  • Pytorch 2.3.0
  • Datasets 2.20.0
  • Tokenizers 0.19.1