| --- |
| license: apache-2.0 |
| base_model: openai/whisper-large-v2 |
| tags: |
| - generated_from_trainer |
| metrics: |
| - wer |
| model-index: |
| - name: whisper_large_v2_newdata |
| 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. --> |
|
|
| # whisper_large_v2_newdata |
| |
| This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.6261 |
| - Cer: 14.4482 |
| - Wer: 24.5386 |
| |
| ## 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: 8 |
| - 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: 2 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Cer | Wer | |
| |:-------------:|:------:|:-----:|:---------------:|:-------:|:-------:| |
| | 0.9203 | 0.9999 | 5765 | 0.6477 | 16.6649 | 28.2685 | |
| | 0.6189 | 1.9998 | 11530 | 0.6261 | 14.4482 | 24.5386 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.41.2 |
| - Pytorch 2.1.2+cu118 |
| - Datasets 2.19.0 |
| - Tokenizers 0.19.1 |
| |
