M Eman Khadim
End of training
bfe0b5f verified
metadata
library_name: transformers
license: apache-2.0
base_model: gsarti/it5-small-news-summarization
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: news_summary_model_trained_on_reduced_data
    results: []

news_summary_model_trained_on_reduced_data

This model is a fine-tuned version of gsarti/it5-small-news-summarization on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: nan
  • Rouge1: 0.1141
  • Rouge2: 0.0402
  • Rougel: 0.1005
  • Rougelsum: 0.1018
  • Generated Length: 19.0

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: 2e-05
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Generated Length
No log 1.0 9 nan 0.1141 0.0402 0.1005 0.1018 19.0
No log 2.0 18 nan 0.1141 0.0402 0.1005 0.1018 19.0
No log 3.0 27 nan 0.1141 0.0402 0.1005 0.1018 19.0

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.1+cu121
  • Datasets 3.0.1
  • Tokenizers 0.19.1