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banglat5_deed_sum_test_1

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

  • Loss: nan
  • Rouge1: 0.0
  • Rouge2: 0.0
  • Rougel: 0.0
  • Rougelsum: 0.0
  • Gen Len: 0.0

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: 5e-05
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 5000
  • num_epochs: 8
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
0.0 0.9973 183 nan 0.0 0.0 0.0 0.0 0.0
0.0 2.0 367 nan 0.0 0.0 0.0 0.0 0.0
0.0 2.9973 550 nan 0.0 0.0 0.0 0.0 0.0
0.0 4.0 734 nan 0.0 0.0 0.0 0.0 0.0
0.0 4.9973 917 nan 0.0 0.0 0.0 0.0 0.0
0.0 6.0 1101 nan 0.0 0.0 0.0 0.0 0.0
0.0 6.9973 1284 nan 0.0 0.0 0.0 0.0 0.0
0.0 7.9782 1464 nan 0.0 0.0 0.0 0.0 0.0

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.1+cu121
  • Datasets 2.21.0
  • Tokenizers 0.19.1
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