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metadata
license: apache-2.0
tags:
  - generated_from_trainer
base_model: LeBenchmark/wav2vec2-FR-2.6K-base
model-index:
  - name: wolof
    results: []

wolof

This model is a fine-tuned version of LeBenchmark/wav2vec2-FR-2.6K-base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2816
  • Wer: 0.3897

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: 20
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 1000
  • num_epochs: 10
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
2.9468 1.67 1500 0.7036 0.6418
0.5506 3.33 3000 0.4129 0.5018
0.3817 5.0 4500 0.3414 0.4519
0.2885 6.67 6000 0.3181 0.4305
0.2275 8.33 7500 0.2920 0.4011
0.1852 10.0 9000 0.2816 0.3897

Framework versions

  • Transformers 4.18.0
  • Pytorch 1.11.0+cu102
  • Datasets 2.1.0
  • Tokenizers 0.12.1