libri-wav2vec2-xlsr-300m-phoneme-demo
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the None dataset. It achieves the following results on the evaluation set:
- Loss: 17.5394
- Wer: 3.3218
- Cer: 0.9677
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: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| No log | 5.0 | 5 | 17.5401 | 3.3057 | 0.9626 |
| No log | 10.0 | 10 | 17.5399 | 3.3356 | 0.9671 |
| No log | 15.0 | 15 | 17.5399 | 3.3126 | 0.9624 |
| No log | 20.0 | 20 | 17.5394 | 3.3218 | 0.9677 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 2.7.1
- Tokenizers 0.21.0
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Base model
facebook/wav2vec2-xls-r-300m