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

banglat5-headline_WithIp-category

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

  • Loss: 2.1174
  • Rouge1: 0.0
  • Rouge2: 0.0
  • Rougel: 0.0
  • Rougelsum: 0.0
  • Gen Len: 8.139

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: 0.0001
  • 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
6.0238 1.0 403 7.9896 0.0 0.0 0.0 0.0 0.005
2.4301 2.0 806 3.1844 0.0 0.0 0.0 0.0 2.0
2.1634 3.0 1209 2.9065 0.0 0.0 0.0 0.0 2.0
1.7157 4.0 1612 2.1174 0.0 0.0 0.0 0.0 8.139

Framework versions

  • Transformers 4.42.4
  • Pytorch 2.4.0+cu121
  • Datasets 2.21.0
  • Tokenizers 0.19.1