| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: Eimhin03/outout_model |
| tags: |
| - generated_from_trainer |
| metrics: |
| - wer |
| model-index: |
| - name: outout_model |
| 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. --> |
|
|
| # outout_model |
| |
| This model is a fine-tuned version of [Eimhin03/outout_model](https://huggingface.co/Eimhin03/outout_model) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.5216 |
| - Wer: 23.5887 |
| |
| ## 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: 1 |
| - eval_batch_size: 1 |
| - 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: linear |
| - lr_scheduler_warmup_steps: 200 |
| - training_steps: 1500 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:------:|:----:|:---------------:|:-------:| |
| | 0.2812 | 0.0248 | 1500 | 0.5216 | 23.5887 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 5.0.0.dev0 |
| - Pytorch 2.8.0+cu126 |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.2 |
|
|
