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cv_bn_bestModel_1

Automatic Speech Recognition
Transformers
PyTorch
wav2vec2
Generated from Trainer
Inference Endpoints
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cv_bn_bestModel_1 / README.md
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metadata
tags:
  - generated_from_trainer
datasets:
  - common_voice
model-index:
  - name: cv_bn_bestModel_1
    results: []

cv_bn_bestModel_1

This model is a fine-tuned version of Sameen53/facebook_large_CV_bn3 on the common_voice dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1780
  • Wer: 0.2315

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-06
  • 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: 200
  • num_epochs: 6
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.1588 1.3 1500 0.2097 0.2315
0.2126 2.6 3000 0.1941 0.2310
0.2242 3.9 4500 0.1834 0.2307
0.2303 5.2 6000 0.1780 0.2315

Framework versions

  • Transformers 4.20.1
  • Pytorch 1.11.0
  • Datasets 2.1.0
  • Tokenizers 0.12.1