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metadata
license: apache-2.0
tags:
  - summarization
  - urdu
  - ur
  - mt5
  - Abstractive Summarization
  - generated_from_trainer
datasets:
  - xlsum
model-index:
  - name: mt5-base-finetuned-urdu
    results: []

mt5-base-finetuned-urdu

This model is a fine-tuned version of google/mt5-base on the xlsum dataset. It achieves the following results on the evaluation set:

  • Loss: 2.8954
  • Rouge-1: 28.84
  • Rouge-2: 13.87
  • Rouge-l: 25.63
  • Gen Len: 19.0
  • Bertscore: 71.31

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: 0.0005
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5
  • label_smoothing_factor: 0.1

Training results

Training Loss Epoch Step Validation Loss Rouge-1 Rouge-2 Rouge-l Gen Len Bertscore
3.6205 1.0 2114 3.0871 26.45 11.4 23.26 19.0 70.76
3.2169 2.0 4228 2.9830 27.19 11.91 23.95 19.0 70.92
3.0787 3.0 6342 2.9284 27.9 12.57 24.62 18.99 71.13
2.9874 4.0 8456 2.9049 28.28 12.91 24.99 18.99 71.28
2.9232 5.0 10570 2.8954 28.65 13.17 25.32 18.99 71.39

Framework versions

  • Transformers 4.18.0
  • Pytorch 1.11.0+cu113
  • Datasets 2.1.0
  • Tokenizers 0.12.1