mms-300m-turkish
This model is a fine-tuned version of mms-meta/mms-zeroshot-300m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4082
- Wer: 0.5510
- Cer: 0.1163
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: 0.01
- train_batch_size: 4
- eval_batch_size: 8
- seed: 45
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: warmup_stable_decay
- num_epochs: 1
Training results
Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
---|---|---|---|---|---|
No log | 0 | 0 | 21.7600 | 1.0 | 2.7817 |
0.6123 | 0.16 | 1000 | 0.4738 | 0.5799 | 0.1275 |
0.5963 | 0.32 | 2000 | 0.4366 | 0.5582 | 0.1195 |
0.5578 | 0.48 | 3000 | 0.4301 | 0.5731 | 0.1205 |
0.5414 | 0.64 | 4000 | 0.4181 | 0.5598 | 0.1175 |
0.5381 | 0.8 | 5000 | 0.4106 | 0.5535 | 0.1168 |
0.5366 | 0.96 | 6000 | 0.4082 | 0.5510 | 0.1163 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
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Base model
mms-meta/mms-zeroshot-300m