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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- PolyAI/minds14 |
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metrics: |
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- wer |
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base_model: openai/whisper-tiny |
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model-index: |
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- name: whisper-tiny-finetuned-minds14 |
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results: |
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- task: |
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type: automatic-speech-recognition |
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name: Automatic Speech Recognition |
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dataset: |
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name: MINDS14 |
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type: PolyAI/minds14 |
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metrics: |
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- type: wer |
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value: 0.34993849938499383 |
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name: Wer |
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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-finetuned-minds14 |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the MINDS14 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6435 |
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- Wer Ortho: 0.3797 |
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- Wer: 0.3499 |
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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: 16 |
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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: 50 |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:| |
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| 4.995 | 1.0 | 29 | 2.9879 | 0.5425 | 0.4127 | |
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| 2.1634 | 2.0 | 58 | 0.8084 | 0.4382 | 0.3936 | |
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| 0.6659 | 3.0 | 87 | 0.6268 | 0.4144 | 0.3678 | |
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| 0.3865 | 4.0 | 116 | 0.5987 | 0.3880 | 0.3561 | |
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| 0.2428 | 5.0 | 145 | 0.6005 | 0.3990 | 0.3659 | |
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| 0.1734 | 6.0 | 174 | 0.6162 | 0.3906 | 0.3573 | |
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| 0.0965 | 7.0 | 203 | 0.6221 | 0.3893 | 0.3561 | |
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| 0.0682 | 8.0 | 232 | 0.6320 | 0.3803 | 0.3493 | |
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| 0.0473 | 9.0 | 261 | 0.6411 | 0.3797 | 0.3493 | |
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| 0.0476 | 10.0 | 290 | 0.6435 | 0.3797 | 0.3499 | |
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### Framework versions |
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- Transformers 4.30.0.dev0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
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