| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - wer |
| | model-index: |
| | - name: 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. --> |
| |
|
| | # model |
| |
|
| | This model is a fine-tuned version of [hts98/whisper-medium-1113](https://huggingface.co/hts98/whisper-medium-1113) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.3198 |
| | - Wer: 100.0 |
| |
|
| | ## 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: 12 |
| | - eval_batch_size: 12 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_steps: 30 |
| | - training_steps: 200 |
| | - mixed_precision_training: Native AMP |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Wer | |
| | |:-------------:|:-----:|:----:|:---------------:|:-----:| |
| | | 0.1889 | 1.43 | 30 | 0.2595 | 100.0 | |
| | | 0.067 | 2.86 | 60 | 0.2960 | 100.0 | |
| | | 0.0319 | 4.29 | 90 | 0.3027 | 100.0 | |
| | | 0.0171 | 5.71 | 120 | 0.3166 | 100.0 | |
| | | 0.0067 | 7.14 | 150 | 0.3214 | 100.0 | |
| | | 0.0028 | 8.57 | 180 | 0.3198 | 100.0 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.29.0.dev0 |
| | - Pytorch 2.0.0+cu117 |
| | - Datasets 2.7.0 |
| | - Tokenizers 0.13.3 |
| | |
