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mms-1b-l1107-nan
This model was trained from scratch on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:
- Loss: 1.5084
- Wer: 1.0057
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: 0.001
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 12.5725 | 2.0 | 100 | 1.8002 | 1.0 |
| 1.5002 | 4.0 | 200 | 1.5084 | 1.0057 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3
