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bn_news_article_summarization

This model is a fine-tuned version of csebuetnlp/banglat5 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1868

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: 0.001
  • train_batch_size: 20
  • eval_batch_size: 16
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 160
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine_with_restarts
  • lr_scheduler_warmup_steps: 100
  • num_epochs: 15

Training results

Training Loss Epoch Step Validation Loss
No log 0.99 83 0.5499
No log 2.0 167 0.6308
16.0025 2.99 250 0.4921
16.0025 3.99 334 0.4755
0.5191 5.0 418 0.4795
0.5191 5.99 501 0.4719
0.5191 7.0 585 0.4575
0.4756 8.0 669 0.4345
0.4756 8.99 752 0.3438
0.4157 10.0 836 0.2664
0.4157 10.99 919 0.2263
0.2776 11.99 1003 0.2013
0.2776 13.0 1087 0.1899
0.2776 13.99 1170 0.1872
0.2269 14.89 1245 0.1868

Framework versions

  • Transformers 4.39.3
  • Pytorch 2.1.2
  • Datasets 2.18.0
  • Tokenizers 0.15.2
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