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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 En - SF test |
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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 En - SF test |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the SF 200 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.7031 |
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- Wer: 62.9291 |
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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: 2 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- gradient_accumulation_steps: 8 |
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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: 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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| 0.5292 | 8.8889 | 100 | 1.0957 | 59.9542 | |
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| 0.0462 | 17.7778 | 200 | 1.2314 | 57.6659 | |
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| 0.0058 | 26.6667 | 300 | 1.4473 | 63.6156 | |
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| 0.0029 | 35.5556 | 400 | 1.5361 | 63.6156 | |
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| 0.0017 | 44.4444 | 500 | 1.6016 | 60.6407 | |
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| 0.0012 | 53.3333 | 600 | 1.6367 | 62.9291 | |
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| 0.0009 | 62.2222 | 700 | 1.6670 | 63.6156 | |
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| 0.0008 | 71.1111 | 800 | 1.6875 | 63.6156 | |
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| 0.0007 | 80.0 | 900 | 1.6992 | 63.6156 | |
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| 0.0007 | 88.8889 | 1000 | 1.7031 | 62.9291 | |
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### Framework versions |
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- Transformers 4.41.0 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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