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bodo-roberta-base-sentencepiece-mlm

This model is a fine-tuned version of alayaran/bodo-roberta-base-sentencepiece-mlm on the alayaran/bodo-monolingual-dataset dataset. It achieves the following results on the evaluation set:

  • Loss: 7.6855
  • Accuracy: 0.1152

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: 0.0003
  • train_batch_size: 96
  • eval_batch_size: 96
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 1000
  • num_epochs: 18.0

Training results

Framework versions

  • Transformers 4.34.0.dev0
  • Pytorch 2.0.1+cu117
  • Datasets 2.14.5
  • Tokenizers 0.13.3
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Dataset used to train alayaran/bodo-roberta-base-sentencepiece-mlm

Evaluation results