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--- |
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language: |
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- eu |
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license: apache-2.0 |
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base_model: openai/whisper-large-v2 |
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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 Large-V2 Basque |
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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 eu |
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type: mozilla-foundation/common_voice_13_0 |
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config: eu |
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split: test |
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args: eu |
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metrics: |
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- name: Wer |
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type: wer |
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value: 11.339057880027543 |
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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-V2 Basque |
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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 mozilla-foundation/common_voice_13_0 eu dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3943 |
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- Wer: 11.3391 |
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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: 32 |
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- eval_batch_size: 16 |
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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: 500 |
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- training_steps: 20000 |
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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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| 0.0355 | 4.01 | 1000 | 0.2616 | 14.8224 | |
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| 0.0079 | 9.01 | 2000 | 0.2777 | 13.5202 | |
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| 0.0041 | 14.01 | 3000 | 0.2764 | 12.7364 | |
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| 0.0047 | 19.0 | 4000 | 0.2932 | 12.6939 | |
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| 0.004 | 24.0 | 5000 | 0.2969 | 12.7992 | |
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| 0.0019 | 29.0 | 6000 | 0.3066 | 12.6008 | |
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| 0.004 | 33.01 | 7000 | 0.2973 | 12.6696 | |
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| 0.0007 | 38.01 | 8000 | 0.3253 | 12.2686 | |
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| 0.0006 | 43.01 | 9000 | 0.3391 | 12.5319 | |
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| 0.0009 | 48.01 | 10000 | 0.3303 | 12.2767 | |
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| 0.0004 | 53.0 | 11000 | 0.3383 | 12.0195 | |
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| 0.0003 | 58.0 | 12000 | 0.3398 | 11.7441 | |
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| 0.0005 | 63.0 | 13000 | 0.3396 | 11.8778 | |
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| 0.0001 | 67.01 | 14000 | 0.3544 | 11.6469 | |
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| 0.0 | 72.01 | 15000 | 0.3752 | 11.4160 | |
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| 0.0 | 77.01 | 16000 | 0.3860 | 11.3411 | |
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| 0.0 | 82.01 | 17000 | 0.3943 | 11.3391 | |
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| 0.0 | 87.0 | 18000 | 0.4013 | 11.3532 | |
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| 0.0 | 92.0 | 19000 | 0.4063 | 11.3613 | |
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| 0.0 | 97.0 | 20000 | 0.4086 | 11.3512 | |
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### Framework versions |
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- Transformers 4.33.0.dev0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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