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--- |
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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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metrics: |
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- wer |
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model-index: |
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- name: whisper-large-et-ERR2020-v2 |
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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: mozilla-foundation/common_voice_11_0 |
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type: mozilla-foundation/common_voice_11_0 |
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config: et |
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split: test |
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metrics: |
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- type: wer |
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value: 17.4 |
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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-large-et-ERR2020-v2 |
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This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2915 |
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- Wer: 13.8640 |
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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: 2 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 32 |
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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: 1000 |
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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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| 0.2158 | 0.1 | 1000 | 0.3205 | 23.8154 | |
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| 0.0897 | 0.2 | 2000 | 0.2961 | 18.3340 | |
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| 0.0785 | 0.3 | 3000 | 0.2839 | 17.5230 | |
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| 0.0653 | 0.4 | 4000 | 0.2847 | 17.8752 | |
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| 0.0541 | 0.5 | 5000 | 0.2906 | 15.2645 | |
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| 0.0566 | 0.6 | 6000 | 0.2845 | 15.2081 | |
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| 0.051 | 0.7 | 7000 | 0.2888 | 14.4668 | |
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| 0.049 | 1.03 | 8000 | 0.2927 | 15.3130 | |
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| 0.044 | 1.13 | 9000 | 0.2915 | 13.8640 | |
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| 0.0379 | 1.23 | 10000 | 0.2913 | 16.5773 | |
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### Framework versions |
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- Transformers 4.26.0.dev0 |
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- Pytorch 1.12.1+rocm5.1.1 |
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- Datasets 2.7.1.dev0 |
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- Tokenizers 0.13.2 |
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