ihanif / w2v-bert2-pashto-augmented

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Total runs: 68
24-hour runs: 0
7-day runs: 45
30-day runs: -15
Model's Last Updated: May 21 2024
automatic-speech-recognition

Introduction of w2v-bert2-pashto-augmented

Model Details of w2v-bert2-pashto-augmented

w2v-bert2-pashto-augmented

This model is a fine-tuned version of facebook/w2v-bert-2.0 on the fleurs dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5954
  • Wer: 0.3431
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: 4
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 8
  • 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: 500
  • training_steps: 700
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss Wer
3.0422 1.1713 100 3.0380 0.9640
2.3141 2.3426 200 2.0336 0.9464
0.7365 3.5139 300 0.6768 0.4520
0.557 4.6852 400 0.6051 0.3913
0.5101 5.8565 500 0.6571 0.3853
0.3803 7.0278 600 0.5946 0.3497
0.2452 8.1991 700 0.5954 0.3431
Framework versions
  • Transformers 4.40.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1

Runs of ihanif w2v-bert2-pashto-augmented on huggingface.co

68
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