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dat259-nor-wav2vec2
This model is a fine-tuned version of NbAiLab/nb-wav2vec2-300m-nynorsk on the common_voice_8_0 dataset. It achieves the following results on the evaluation set:
- Loss: 10.9446
- Wer: 1.1259
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: 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: 5
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 84.8696 | 1.57 | 5 | 91.5942 | 1.0 |
| 62.5471 | 3.29 | 10 | 33.8515 | 1.0068 |
| 20.2215 | 4.86 | 15 | 17.4461 | 1.0017 |
| 15.2892 | 6.57 | 20 | 13.5454 | 1.0034 |
| 12.8086 | 8.29 | 25 | 12.0084 | 1.0408 |
| 11.0168 | 9.86 | 30 | 10.9446 | 1.1259 |
Framework versions
- Transformers 4.21.1
- Pytorch 1.10.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
