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wav2vec2-large-xlsr-53-tr-fine-tuning-00
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the common_voice dataset. It achieves the following results on the evaluation set:
- Loss: 0.3974
- Wer: 0.4784
Training Procedure
Training Hyper-parameters
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
- num_epochs: 30
Training Results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 5.0376 | 4.21 | 400 | 2.4295 | 1.0 |
| 0.8375 | 8.42 | 800 | 0.4717 | 0.6291 |
| 0.3246 | 12.63 | 1200 | 0.4066 | 0.5528 |
| 0.216 | 16.84 | 1600 | 0.4022 | 0.5149 |
| 0.1664 | 21.05 | 2000 | 0.3972 | 0.5013 |
| 0.1413 | 25.26 | 2400 | 0.3982 | 0.4894 |
| 0.1197 | 29.47 | 2800 | 0.3974 | 0.4784 |
Framework Versions
- Transformers 4.19.1
- Pytorch 1.11.0+cu102
- Datasets 2.2.1
- Tokenizers 0.12.1
