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--- |
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language: |
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- en |
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license: apache-2.0 |
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base_model: openai/whisper-tiny |
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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_tiny-mini2 |
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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_tiny-mini2 |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1008 |
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- Wer: 5.5449 |
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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: 16 |
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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: 100 |
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- training_steps: 1000 |
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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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| 2.0118 | 1.49 | 100 | 1.8148 | 15.4876 | |
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| 0.3222 | 2.99 | 200 | 0.3016 | 8.0306 | |
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| 0.0315 | 4.48 | 300 | 0.1206 | 4.7801 | |
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| 0.0098 | 5.97 | 400 | 0.1097 | 4.7801 | |
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| 0.0025 | 7.46 | 500 | 0.1024 | 5.3537 | |
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| 0.0017 | 8.96 | 600 | 0.1044 | 5.1625 | |
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| 0.0011 | 10.45 | 700 | 0.1033 | 4.7801 | |
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| 0.001 | 11.94 | 800 | 0.1013 | 5.5449 | |
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| 0.0008 | 13.43 | 900 | 0.1009 | 5.3537 | |
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| 0.0008 | 14.93 | 1000 | 0.1008 | 5.5449 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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