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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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- mozilla-foundation/common_voice_13_0 |
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metrics: |
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- wer |
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base_model: openai/whisper-small |
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model-index: |
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- name: whisper-small-fine_tuned-ru |
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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-small-fine_tuned-ru |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the [Mozilla common_voice_13_0](mozilla-foundation/common_voice_13_0) dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2290 |
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- Wer: 17.6336 |
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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: 5e-07 |
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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: 250 |
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- training_steps: 5000 |
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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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| 0.0286 | 0.22 | 500 | 0.2225 | 18.0199 | |
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| 0.0287 | 0.44 | 1000 | 0.2235 | 18.0455 | |
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| 0.0334 | 0.66 | 1500 | 0.2243 | 18.1956 | |
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| 0.0373 | 0.88 | 2000 | 0.2239 | 17.9803 | |
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| 0.0261 | 1.1 | 2500 | 0.2268 | 17.7674 | |
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| 0.0252 | 1.32 | 3000 | 0.2277 | 17.8221 | |
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| 0.0265 | 1.54 | 3500 | 0.2290 | 17.6336 | |
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| 0.0271 | 1.76 | 4000 | 0.2293 | 17.8279 | |
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| 0.0252 | 1.97 | 4500 | 0.2293 | 17.8744 | |
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| 0.023 | 2.19 | 5000 | 0.2298 | 17.8930 | |
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### Framework versions |
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- Transformers 4.30.2 |
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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 |
