| --- |
| license: apache-2.0 |
| base_model: openai/whisper-medium |
| tags: |
| - generated_from_trainer |
| metrics: |
| - wer |
| model-index: |
| - name: testcode |
| 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. --> |
|
|
| # testcode |
|
|
| This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 4.0053 |
| - Cer: 18.4805 |
| - Wer: 34.2105 |
|
|
| ## 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: 2 |
| - eval_batch_size: 2 |
| - seed: 42 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 4 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 1000 |
| - num_epochs: 3 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Cer | Wer | |
| |:-------------:|:------:|:----:|:---------------:|:-------:|:-------:| |
| | 18.1291 | 0.6667 | 1 | 4.0053 | 18.4805 | 34.2105 | |
| | 8.9428 | 2.0 | 3 | 4.0053 | 18.4805 | 34.2105 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.41.2 |
| - Pytorch 2.1.2+cu118 |
| - Datasets 2.19.0 |
| - Tokenizers 0.19.1 |
|
|
