wav2vec2-large-xlsr-53_toy_train_data
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6357
- Wer: 0.5496
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.6073 | 2.1 | 250 | 3.5111 | 1.0 |
| 3.0828 | 4.2 | 500 | 3.5133 | 1.0 |
| 1.9969 | 6.3 | 750 | 1.3924 | 0.9577 |
| 0.9279 | 8.4 | 1000 | 0.8378 | 0.7243 |
| 0.6692 | 10.5 | 1250 | 0.7367 | 0.6394 |
| 0.5273 | 12.6 | 1500 | 0.6703 | 0.5907 |
| 0.4314 | 14.7 | 1750 | 0.6594 | 0.5718 |
| 0.3809 | 16.8 | 2000 | 0.6138 | 0.5559 |
| 0.3934 | 18.9 | 2250 | 0.6357 | 0.5496 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.11.0+cu102
- Datasets 2.0.0
- Tokenizers 0.11.6