| | --- |
| | library_name: transformers |
| | license: apache-2.0 |
| | base_model: facebook/wav2vec2-base |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: output |
| | 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. --> |
| |
|
| | # output |
| |
|
| | This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - eval_loss: 1.3522 |
| | - eval_wer: 0.5850 |
| | - eval_cer: 0.1843 |
| | - eval_runtime: 12.6829 |
| | - eval_samples_per_second: 7.333 |
| | - eval_steps_per_second: 0.946 |
| | - epoch: 89.2857 |
| | - step: 5000 |
| |
|
| | ## 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: 0.0001 |
| | - train_batch_size: 8 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - 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: cosine |
| | - lr_scheduler_warmup_steps: 1000 |
| | - training_steps: 10000 |
| | - mixed_precision_training: Native AMP |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.48.0 |
| | - Pytorch 2.8.0+cu126 |
| | - Datasets 3.6.0 |
| | - Tokenizers 0.21.4 |
| | |
