AlinaKozyreva
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End of training
Browse files- README.md +15 -8
- model.safetensors +1 -1
README.md
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metrics:
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- wer
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model-index:
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- name: Whisper Small Ru -
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results:
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- task:
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name: Automatic Speech Recognition
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metrics:
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- name: Wer
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type: wer
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value:
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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 Ru -
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 13 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Wer Ortho:
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- Wer:
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## Model description
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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: 50
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- training_steps:
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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 Ortho | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
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| 0.
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### Framework versions
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metrics:
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- wer
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model-index:
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- name: Whisper Small Ru - Model_ru_3
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results:
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- task:
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name: Automatic Speech Recognition
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metrics:
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- name: Wer
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type: wer
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value: 13.30140186915888
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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 Ru - Model_ru_3
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 13 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2080
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- Wer Ortho: 17.4462
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- Wer: 13.3014
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## Model description
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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: 50
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- training_steps: 4000
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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 Ortho | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
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| 0.2085 | 0.22 | 500 | 0.2366 | 19.9234 | 14.9498 |
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| 0.1875 | 0.44 | 1000 | 0.2176 | 19.3079 | 14.5643 |
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| 0.1688 | 0.66 | 1500 | 0.2095 | 18.3736 | 13.9287 |
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| 0.1678 | 0.88 | 2000 | 0.2038 | 17.7325 | 13.4381 |
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| 0.0853 | 1.1 | 2500 | 0.2036 | 17.0309 | 12.7488 |
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| 0.0822 | 1.32 | 3000 | 0.2046 | 17.6894 | 13.2780 |
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| 0.0775 | 1.54 | 3500 | 0.2051 | 16.9948 | 12.7126 |
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| 0.0727 | 1.76 | 4000 | 0.2080 | 17.4462 | 13.3014 |
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### Framework versions
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model.safetensors
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size 966995080
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