wav2vec2-large-mms-1b-malagasy
This model is a fine-tuned version of facebook/mms-1b-all on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2980
- Cer: 0.0726
- Wer: 0.3059
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: 0.0005
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer | Wer |
|---|---|---|---|---|---|
| 0.4029 | 1.0 | 4470 | 0.2980 | 0.0726 | 0.3059 |
Framework versions
- Transformers 4.52.0.dev0
- Pytorch 2.7.0+cu128
- Datasets 3.5.1
- Tokenizers 0.21.1
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Model tree for rbaks/wav2vec2-large-mms-1b-malagasy
Base model
facebook/mms-1b-all