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xls-r-1b-bem-msv

Automatic Speech Recognition
TensorBoard
Safetensors
wav2vec2
BembaSpeech
Generated from Trainer
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metadata
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-1b
tags:
  - automatic-speech-recognition
  - BembaSpeech
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: xls-r-1b-bem-msv
    results: []

Visualize in Weights & Biases

xls-r-1b-bem-msv

This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on the BEMBASPEECH - BEM dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1348
  • Wer: 0.6038

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: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 5.0
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
2.4467 1.0406 500 0.2477 0.8371
0.4021 2.0812 1000 0.1869 0.7790
0.3192 3.1217 1500 0.1469 0.6581
0.2252 4.1623 2000 0.1348 0.6038

Framework versions

  • Transformers 4.43.0
  • Pytorch 2.3.1+cu121
  • Datasets 2.21.0
  • Tokenizers 0.19.1