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--- |
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language: |
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- gl |
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license: apache-2.0 |
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base_model: openai/whisper-large-v3 |
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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-V3 Galician |
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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 gl |
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type: mozilla-foundation/common_voice_13_0 |
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config: gl |
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split: test |
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args: gl |
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metrics: |
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- name: Wer |
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type: wer |
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value: 5.008278145695364 |
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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-V3 Galician |
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This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the mozilla-foundation/common_voice_13_0 gl dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2940 |
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- Wer: 5.0083 |
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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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- 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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| 0.0176 | 5.0 | 1000 | 0.1563 | 5.2514 | |
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| 0.004 | 10.0 | 2000 | 0.1884 | 5.5653 | |
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| 0.0039 | 15.0 | 3000 | 0.2052 | 5.5377 | |
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| 0.0033 | 20.0 | 4000 | 0.2054 | 5.2997 | |
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| 0.0012 | 25.0 | 5000 | 0.2115 | 5.1031 | |
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| 0.001 | 30.0 | 6000 | 0.2195 | 5.2394 | |
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| 0.001 | 35.0 | 7000 | 0.2257 | 5.3446 | |
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| 0.001 | 40.0 | 8000 | 0.2178 | 5.4015 | |
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| 0.0008 | 45.0 | 9000 | 0.2250 | 5.4705 | |
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| 0.0008 | 50.0 | 10000 | 0.2320 | 5.2946 | |
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| 0.0002 | 55.0 | 11000 | 0.2368 | 5.3515 | |
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| 0.0 | 60.0 | 12000 | 0.2551 | 5.0997 | |
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| 0.0 | 65.0 | 13000 | 0.2634 | 5.0738 | |
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| 0.0 | 70.0 | 14000 | 0.2697 | 5.0359 | |
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| 0.0 | 75.0 | 15000 | 0.2752 | 5.0186 | |
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| 0.0 | 80.0 | 16000 | 0.2804 | 5.0066 | |
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| 0.0 | 85.0 | 17000 | 0.2852 | 4.9859 | |
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| 0.0 | 90.0 | 18000 | 0.2894 | 4.9893 | |
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| 0.0 | 95.0 | 19000 | 0.2927 | 5.0014 | |
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| 0.0 | 100.0 | 20000 | 0.2940 | 5.0083 | |
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### Framework versions |
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- Transformers 4.37.2 |
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- Pytorch 2.2.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.1 |
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