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w2v2bert-test

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

  • eval_loss: 1.0736
  • eval_model_preparation_time: 0.0141
  • eval_wer: 0.6051
  • eval_runtime: 1.6517
  • eval_samples_per_second: 13.319
  • eval_steps_per_second: 1.816
  • step: 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: 16
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 50
  • num_epochs: 5
  • mixed_precision_training: Native AMP

Framework versions

  • Transformers 4.43.4
  • Pytorch 2.1.2+cu118
  • Datasets 2.15.0
  • Tokenizers 0.19.1
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