| --- |
| library_name: transformers |
| license: cc-by-nc-4.0 |
| base_model: facebook/mms-1b-all |
| tags: |
| - generated_from_trainer |
| metrics: |
| - wer |
| model-index: |
| - name: test_mms |
| results: [] |
| --- |
| |
| <!-- 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. --> |
|
|
| # test_mms |
| |
| This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.8774 |
| - Wer: 0.5800 |
| |
| ## 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: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 32 |
| - 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: linear |
| - lr_scheduler_warmup_steps: 100 |
| - num_epochs: 20 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:------:|:----:|:---------------:|:------:| |
| | 0.8977 | 3.128 | 100 | 0.9470 | 0.6404 | |
| | 0.7768 | 6.256 | 200 | 0.9301 | 0.5731 | |
| | 0.685 | 9.384 | 300 | 0.8985 | 0.5986 | |
| | 0.6113 | 12.512 | 400 | 0.8818 | 0.5708 | |
| | 0.5605 | 15.64 | 500 | 0.8921 | 0.5568 | |
| | 0.5259 | 18.768 | 600 | 0.8774 | 0.5800 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.51.3 |
| - Pytorch 2.6.0+cu124 |
| - Datasets 3.6.0 |
| - Tokenizers 0.21.1 |
| |
