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--- |
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language: |
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- uk |
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license: apache-2.0 |
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base_model: openai/whisper-base |
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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_16_0 |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Base Ukrainian |
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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_16_0 uk |
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type: mozilla-foundation/common_voice_16_0 |
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config: uk |
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split: test |
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args: uk |
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metrics: |
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- name: Wer |
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type: wer |
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value: 35.94087806808066 |
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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 Base Ukrainian |
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This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the mozilla-foundation/common_voice_16_0 uk dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4984 |
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- Wer: 35.9409 |
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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-06 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 64 |
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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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- training_steps: 10000 |
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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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| 0.5338 | 3.01 | 1000 | 0.5985 | 42.0862 | |
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| 0.4086 | 6.02 | 2000 | 0.5545 | 39.8889 | |
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| 0.336 | 9.02 | 3000 | 0.5347 | 38.2399 | |
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| 0.3672 | 13.0 | 4000 | 0.5165 | 37.2395 | |
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| 0.3862 | 16.01 | 5000 | 0.5096 | 36.7576 | |
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| 0.3298 | 19.02 | 6000 | 0.5040 | 36.5556 | |
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| 0.297 | 22.03 | 7000 | 0.5040 | 36.3153 | |
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| 0.3006 | 26.0 | 8000 | 0.4985 | 36.0172 | |
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| 0.3429 | 29.01 | 9000 | 0.4984 | 35.9409 | |
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| 0.2978 | 32.02 | 10000 | 0.4978 | 35.9423 | |
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### Framework versions |
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- Transformers 4.38.0.dev0 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.16.2.dev0 |
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- Tokenizers 0.15.0 |
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