acoustic_model2_cv_17_fr_XLSR-53
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the Common Voice 17 dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Wer: 0.9923
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: 0.0003
- 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: 500
- training_steps: 1200
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 16.0974 | 2.105 | 400 | nan | 0.9923 |
| 0.0 | 5.0958 | 800 | nan | 0.9923 |
| 0.0 | 8.0867 | 1200 | nan | 0.9923 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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Model tree for TJLeiber/wav2vec2-large-xlsr-53-fr-colab
Base model
facebook/wav2vec2-large-xlsr-53