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--- |
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language: |
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- zh |
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license: apache-2.0 |
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base_model: openai/whisper-medium |
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tags: |
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- generated_from_trainer |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Medium Zh - Kimas |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Whisper Medium Zh - Kimas |
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0635 |
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- Wer: 100.0 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 500 |
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- training_steps: 10000 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:| |
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| 0.1461 | 0.28 | 1000 | 0.1406 | 100.0 | |
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| 0.0803 | 0.57 | 2000 | 0.1181 | 100.0 | |
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| 0.0715 | 0.85 | 3000 | 0.1039 | 100.0 | |
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| 0.0255 | 1.14 | 4000 | 0.0925 | 100.0207 | |
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| 0.0199 | 1.42 | 5000 | 0.0810 | 100.0 | |
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| 0.027 | 1.7 | 6000 | 0.0767 | 100.0207 | |
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| 0.0328 | 1.99 | 7000 | 0.0706 | 100.0 | |
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| 0.0026 | 2.27 | 8000 | 0.0700 | 100.0 | |
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| 0.0082 | 2.56 | 9000 | 0.0646 | 100.0 | |
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| 0.0099 | 2.84 | 10000 | 0.0635 | 100.0 | |
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### Framework versions |
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- Transformers 4.36.0.dev0 |
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- Pytorch 1.12.1 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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