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--- |
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language: |
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- dv |
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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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- mozilla-foundation/common_voice_13_0 |
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metrics: |
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- wer |
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model-index: |
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- name: whisper-medium-dv |
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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: mozilla-foundation/common_voice_13_0 dv |
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type: mozilla-foundation/common_voice_13_0 |
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config: dv |
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split: test |
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args: dv |
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metrics: |
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- name: Wer |
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type: wer |
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value: 8.957818965817019 |
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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-medium-dv |
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the mozilla-foundation/common_voice_13_0 dv dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2998 |
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- Wer: 8.9578 |
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To reproduce this run, execute the command in [`run.sh`](./run.sh). Note that you will require the DeepSpeed package, which can be pip installed with: |
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``` |
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pip install --upgrade deepspeed |
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``` |
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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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- distributed_type: multi-GPU |
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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: 4000 |
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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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| 0.0349 | 3.58 | 1000 | 0.1622 | 9.9437 | |
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| 0.0046 | 7.17 | 2000 | 0.2288 | 9.5090 | |
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| 0.0007 | 10.75 | 3000 | 0.2820 | 9.0952 | |
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| 0.0 | 14.34 | 4000 | 0.2998 | 8.9578 | |
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### Framework versions |
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- Transformers 4.31.0.dev0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.13.1.dev0 |
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- Tokenizers 0.13.3 |
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