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metadata
base_model: csebuetnlp/banglat5
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: banglat5-finetuned-headlineBT5_PP
    results: []

banglat5-finetuned-headlineBT5_PP

This model is a fine-tuned version of csebuetnlp/banglat5 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 6.6356
  • Rouge1: 0.0
  • Rouge2: 0.0
  • Rougel: 0.0
  • Rougelsum: 0.0
  • Gen Len: 16.4375

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: 5

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
14.3172 1.0 80 8.5273 0.0 0.0 0.0 0.0 8.0875
11.5082 2.0 160 7.7195 0.0 0.0 0.0 0.0 11.7875
8.8925 3.0 240 7.1556 0.0 0.0 0.0 0.0 17.4625
8.8689 4.0 320 6.7662 0.0 0.0 0.0 0.0 17.6
8.6182 5.0 400 6.6356 0.0 0.0 0.0 0.0 16.4375

Framework versions

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