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mlm

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

  • Loss: 4.5428

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: 64
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 200

Training results

Training Loss Epoch Step Validation Loss
5.9959 10.87 500 5.4385
4.974 21.74 1000 5.0920
4.2917 32.61 1500 4.7598
3.7303 43.48 2000 4.4384
3.2166 54.35 2500 4.3718
2.7673 65.22 3000 4.3775
2.3727 76.09 3500 4.4200
2.029 86.96 4000 4.5428

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.16.0
  • Tokenizers 0.15.0
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