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--- |
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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-meduim-mongolian |
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results: [] |
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datasets: |
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- Cafet/whisper-mongolian-final |
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language: |
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- mn |
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library_name: transformers |
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pipeline_tag: automatic-speech-recognition |
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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-meduim-mongolian |
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on custom. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3098 |
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- Wer: 26.8664 |
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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: 4 |
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- eval_batch_size: 8 |
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- seed: 42 |
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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: 2000 |
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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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| 0.3034 | 0.9398 | 2000 | 0.4135 | 45.1152 | |
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| 0.1443 | 1.8797 | 4000 | 0.3127 | 35.3290 | |
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| 0.0618 | 2.8195 | 6000 | 0.3038 | 31.0534 | |
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| 0.0179 | 3.7594 | 8000 | 0.3042 | 28.3673 | |
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| 0.0028 | 4.6992 | 10000 | 0.3098 | 26.8664 | |
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### Framework versions |
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- Transformers 4.40.1 |
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- Pytorch 2.2.0 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
