| | --- |
| | library_name: transformers |
| | base_model: 7ocho/WMACv2 |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - wer |
| | model-index: |
| | - name: WMACv2.1 |
| | 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. --> |
| |
|
| | # WMACv2.1 |
| |
|
| | This model is a fine-tuned version of [7ocho/WMACv2](https://huggingface.co/7ocho/WMACv2) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.3403 |
| | - Wer: 53.6579 |
| |
|
| | ## 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: 1e-05 |
| | - train_batch_size: 8 |
| | - eval_batch_size: 24 |
| | - seed: 42 |
| | - 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: cosine |
| | - lr_scheduler_warmup_steps: 200 |
| | - training_steps: 2000 |
| | - mixed_precision_training: Native AMP |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Wer | |
| | |:-------------:|:------:|:----:|:---------------:|:-------:| |
| | | 0.4811 | 0.2338 | 1000 | 0.3687 | 54.9924 | |
| | | 0.4310 | 0.4675 | 2000 | 0.3403 | 53.6579 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 5.2.0 |
| | - Pytorch 2.10.0+cu128 |
| | - Datasets 3.6.0 |
| | - Tokenizers 0.22.2 |
| |
|
