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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-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 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: 5.987858719646799 |
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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 Galician |
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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 gl dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3601 |
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- Wer: 5.9879 |
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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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| 0.0185 | 4.01 | 1000 | 0.1896 | 6.3569 | |
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| 0.0067 | 9.01 | 2000 | 0.2083 | 6.3862 | |
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| 0.0038 | 14.01 | 3000 | 0.2291 | 6.4621 | |
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| 0.0022 | 19.01 | 4000 | 0.2412 | 6.4794 | |
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| 0.0013 | 24.01 | 5000 | 0.2515 | 6.4673 | |
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| 0.0023 | 29.01 | 6000 | 0.2570 | 6.6432 | |
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| 0.0018 | 34.01 | 7000 | 0.2474 | 6.6380 | |
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| 0.0017 | 39.01 | 8000 | 0.2530 | 6.9312 | |
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| 0.0001 | 44.01 | 9000 | 0.2758 | 6.2379 | |
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| 0.0001 | 49.01 | 10000 | 0.2952 | 6.1241 | |
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| 0.0001 | 54.01 | 11000 | 0.3056 | 6.0499 | |
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| 0.0 | 59.01 | 12000 | 0.3152 | 5.9948 | |
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| 0.0 | 64.01 | 13000 | 0.3244 | 6.0310 | |
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| 0.0 | 69.01 | 14000 | 0.3336 | 6.0586 | |
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| 0.0 | 74.01 | 15000 | 0.3428 | 6.0344 | |
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| 0.0 | 79.01 | 16000 | 0.3518 | 6.0017 | |
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| 0.0 | 84.01 | 17000 | 0.3601 | 5.9879 | |
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| 0.0 | 89.01 | 18000 | 0.3675 | 6.0103 | |
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| 0.0 | 94.01 | 19000 | 0.3729 | 6.0068 | |
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| 0.0 | 99.01 | 20000 | 0.3753 | 6.0172 | |
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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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