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asr_model_french

Automatic Speech Recognition
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metadata
license: apache-2.0
base_model: jonatasgrosman/wav2vec2-large-xlsr-53-french
tags:
  - generated_from_trainer
datasets:
  - minds14
model-index:
  - name: asr_model_french
    results: []

asr_model_french

This model is a fine-tuned version of jonatasgrosman/wav2vec2-large-xlsr-53-french on the minds14 dataset. It achieves the following results on the evaluation set:

  • eval_loss: 0.9463
  • eval_wer: 0.9535
  • eval_runtime: 0.8229
  • eval_samples_per_second: 7.292
  • eval_steps_per_second: 1.215
  • epoch: 333.3333
  • step: 500

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: 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: 250
  • training_steps: 1000
  • mixed_precision_training: Native AMP

Framework versions

  • Transformers 4.40.0
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.0
  • Tokenizers 0.19.1