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--- |
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license: apache-2.0 |
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tags: |
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- whisper-event |
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- generated_from_trainer |
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datasets: |
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- NbAiLab/NCC_S3 |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Tiny GPU test |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: NbAiLab/NCC_S3 |
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type: NbAiLab/NCC_S3 |
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config: 'no' |
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split: validation |
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args: 'no' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 51.37028014616322 |
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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 GPU test |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the NbAiLab/NCC_S3 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9375 |
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- Wer: 51.3703 |
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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: 3e-06 |
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- train_batch_size: 128 |
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- eval_batch_size: 32 |
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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: constant_with_warmup |
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- lr_scheduler_warmup_steps: 200 |
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- training_steps: 2000 |
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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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| 2.4574 | 0.1 | 200 | 1.4663 | 71.6504 | |
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| 1.9587 | 0.2 | 400 | 1.2581 | 64.7381 | |
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| 1.816 | 0.3 | 600 | 1.1672 | 60.9318 | |
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| 1.7199 | 0.4 | 800 | 1.1006 | 57.6736 | |
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| 1.6686 | 0.5 | 1000 | 1.0630 | 56.1815 | |
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| 1.621 | 0.6 | 1200 | 1.0273 | 55.4811 | |
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| 1.5846 | 0.7 | 1400 | 1.0017 | 53.9890 | |
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| 1.5482 | 0.8 | 1600 | 0.9773 | 53.0146 | |
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| 1.521 | 0.9 | 1800 | 0.9575 | 52.1011 | |
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| 1.4932 | 1.0 | 2000 | 0.9375 | 51.3703 | |
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### Framework versions |
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- Transformers 4.28.0.dev0 |
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- Pytorch 1.13.0+cu117 |
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- Datasets 2.7.1.dev0 |
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- Tokenizers 0.13.2 |
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