mt0-small-bn-to-ipa-v2
This model is a fine-tuned version of bigscience/mt0-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0551
- Wer: 0.0327
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: 16
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2000
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.079 | 3.64 | 4000 | 0.0600 | 0.0495 |
| 0.0602 | 7.27 | 8000 | 0.0563 | 0.0434 |
| 0.042 | 10.91 | 12000 | 0.0539 | 0.0378 |
| 0.0292 | 14.55 | 16000 | 0.0542 | 0.0346 |
| 0.0212 | 18.18 | 20000 | 0.0551 | 0.0327 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.14.1
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Base model
bigscience/mt0-small