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shanjivkr/catla-banglat5-en2bn

sourceHugging Faceupdated 1mo agoView on Hugging Face
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Model Card

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catla-banglat5-en2bn

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

  • —Loss: nan

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: 0.0002
  • —trainbatchsize: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —gradientaccumulationsteps: 4
  • —totaltrainbatch_size: 32
  • —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • —lrschedulertype: linear
  • —num_epochs: 1.0
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation Loss
0.00.1067500nan
0.00.21331000nan
0.00.321500nan
0.00.42672000nan
0.00.53332500nan
0.00.643000nan
0.00.74673500nan
0.00.85334000nan
0.00.964500nan

Framework versions

  • —PEFT 0.19.1
  • —Transformers 5.0.0
  • —Pytorch 2.10.0+cu128
  • —Datasets 5.0.0
  • —Tokenizers 0.22.2