Configuration Parsing Warning:In adapter_config.json: "peft.task_type" must be a string
kurdish_mms_1b_final_safe
This model is a fine-tuned version of facebook/mms-1b-all on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1168
- Wer: 0.2834
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: 0.0003
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 500
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1983 | 0.7323 | 500 | 0.1608 | 0.3344 |
| 0.1744 | 1.4643 | 1000 | 0.1375 | 0.3003 |
| 0.1522 | 2.1963 | 1500 | 0.1233 | 0.2868 |
| 0.1535 | 2.9286 | 2000 | 0.1168 | 0.2834 |
Framework versions
- PEFT 0.18.0
- Transformers 4.57.3
- Pytorch 2.9.1+cu128
- Datasets 2.19.0
- Tokenizers 0.22.1
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facebook/mms-1b-all