| --- |
| library_name: transformers |
| license: cc-by-nc-4.0 |
| base_model: facebook/mms-1b-all |
| tags: |
| - generated_from_trainer |
| datasets: |
| - common_voice_6_1 |
| metrics: |
| - wer |
| model-index: |
| - name: wav2vec2-large-mms-1b-turkish-tutorial |
| results: |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: common_voice_6_1 |
| type: common_voice_6_1 |
| config: tr |
| split: test |
| args: tr |
| metrics: |
| - name: Wer |
| type: wer |
| value: 0.2215299765090389 |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # wav2vec2-large-mms-1b-turkish-tutorial |
|
|
| This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on the common_voice_6_1 dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.1536 |
| - Wer: 0.2215 |
| - Num Input Tokens Seen: 0 |
| |
| ## 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: 32 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Use 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: 100 |
| - num_epochs: 4 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.57.0.dev0 |
| - Pytorch 2.8.0+cu128 |
| - Datasets 2.14.5 |
| - Tokenizers 0.22.0 |
| |
