| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: mouseyy/result_data-1 |
| tags: |
| - generated_from_trainer |
| datasets: |
| - common_voice_17_0 |
| metrics: |
| - wer |
| model-index: |
| - name: result_data_2-2 |
| results: |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: common_voice_17_0 |
| type: common_voice_17_0 |
| config: uk |
| split: test |
| args: uk |
| metrics: |
| - name: Wer |
| type: wer |
| value: 0.34786300594395697 |
| --- |
| |
| <!-- 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. --> |
|
|
| # result_data_2-2 |
|
|
| This model is a fine-tuned version of [mouseyy/result_data-1](https://huggingface.co/mouseyy/result_data-1) on the common_voice_17_0 dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.2338 |
| - Wer: 0.3479 |
| - Cer: 0.1661 |
| |
| ## 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: 1.3065956368514577e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - distributed_type: multi-GPU |
| - num_devices: 2 |
| - total_train_batch_size: 32 |
| - total_eval_batch_size: 32 |
| - optimizer: Use 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: 184 |
| - num_epochs: 5.0 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Wer | Cer | |
| |:-------------:|:------:|:----:|:---------------:|:------:|:------:| |
| | 0.1695 | 0.9099 | 1000 | 0.2457 | 0.3725 | 0.1714 | |
| | 0.1502 | 1.8198 | 2000 | 0.2344 | 0.3640 | 0.1704 | |
| | 0.1287 | 2.7298 | 3000 | 0.2321 | 0.3617 | 0.1691 | |
| | 0.1248 | 3.6397 | 4000 | 0.2387 | 0.3561 | 0.1665 | |
| | 0.1127 | 4.5496 | 5000 | 0.2371 | 0.3493 | 0.1667 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.49.0 |
| - Pytorch 2.6.0+cu124 |
| - Datasets 3.3.2 |
| - Tokenizers 0.21.0 |
|
|
