| language: | |
| - zh | |
| license: apache-2.0 | |
| tags: | |
| - whisper-event | |
| - generated_from_trainer | |
| datasets: | |
| - thomas0104/nan_tw_soap_opera | |
| metrics: | |
| - wer | |
| base_model: openai/whisper-large-v2 | |
| model-index: | |
| - name: openai/whisper-large-v2 | |
| results: | |
| - task: | |
| type: automatic-speech-recognition | |
| name: Automatic Speech Recognition | |
| dataset: | |
| name: thomas0104/nan_tw_soap_opera nan-tw | |
| type: thomas0104/nan_tw_soap_opera | |
| config: nan-tw | |
| split: test | |
| metrics: | |
| - type: cer | |
| value: 63.42 | |
| name: Cer | |
| <!-- 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. --> | |
| # openai/large_v2_nan_tw_so_short_30s | |
| This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the thomas0104/nan_tw_soap_opera nan-tw dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 1.3322 | |
| - Wer: 343.5629 | |
| - Cer: 63.42 | |
| ## 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 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - lr_scheduler_warmup_steps: 100 | |
| - training_steps: 1000 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Wer | Cer | | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:| | |
| | 1.1133 | 1.0 | 1000 | 1.3322 | 343.5629 | 416.4573 | | |
| ### Framework versions | |
| - Transformers 4.27.0.dev0 | |
| - Pytorch 1.13.1+cu117 | |
| - Datasets 2.8.0 | |
| - Tokenizers 0.13.2 | |