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wav2vec2-large-xlsr-53-russian-finetuned-amd
This model is a fine-tuned version of jonatasgrosman/wav2vec2-large-xlsr-53-russian on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0611
- Accuracy: 0.9780
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1182 | 1.0 | 196 | 0.0611 | 0.9780 |
| 0.0825 | 2.0 | 392 | 0.0627 | 0.9775 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.0
- Datasets 2.12.0
- Tokenizers 0.13.3
