mms-1b-tamil-6k
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2292
- Wer: 0.3725
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: 1e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
0.4606 | 1.0 | 400 | 0.2479 | 0.3811 |
0.6277 | 2.0 | 800 | 0.2358 | 0.3738 |
0.4154 | 3.0 | 1200 | 0.2310 | 0.3715 |
0.5381 | 4.0 | 1600 | 0.2295 | 0.3727 |
0.4222 | 5.0 | 2000 | 0.2292 | 0.3725 |
Framework versions
- Transformers 4.43.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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