wsdbanglat5_2e4_D1 / README.md
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metadata
base_model: ka05ar/Banglat5_Dx1
tags:
  - generated_from_trainer
model-index:
  - name: wsdbanglat5_2e4_D1
    results: []

wsdbanglat5_2e4_D1

This model is a fine-tuned version of ka05ar/Banglat5_Dx1 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
  • 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: 10
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
0.0 1.0 1481 nan
0.0 2.0 2962 nan
0.0 3.0 4443 nan
0.0 4.0 5924 nan

Framework versions

  • Transformers 4.41.2
  • Pytorch 2.1.2
  • Datasets 2.19.2
  • Tokenizers 0.19.1