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wav2vec2-large-xlsr-53k-russian
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: 0.2660
- Wer: 0.2052
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: 96
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 192
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 4.2873 | 1.09 | 400 | 0.8580 | 0.8982 |
| 0.4728 | 2.19 | 800 | 0.3182 | 0.3892 |
| 0.1639 | 9.83 | 1200 | 0.2374 | 0.2646 |
| 0.1014 | 13.11 | 1600 | 0.2470 | 0.2467 |
| 0.0754 | 16.39 | 2000 | 0.2516 | 0.2337 |
| 0.0616 | 19.67 | 2400 | 0.2559 | 0.2237 |
| 0.0505 | 22.95 | 2800 | 0.2557 | 0.2155 |
| 0.0437 | 26.23 | 3200 | 0.2711 | 0.2099 |
| 0.0377 | 29.51 | 3600 | 0.2660 | 0.2052 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.11.0+cu113
- Datasets 1.18.3
- Tokenizers 0.12.1
