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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-medium |
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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 Medium 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: 7.122654525386314 |
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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 Medium Galician |
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) 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: 0.3196 |
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- Wer: 7.1227 |
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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: 64 |
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- eval_batch_size: 32 |
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- seed: 42 |
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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: 10000 |
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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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| 0.0124 | 4.02 | 1000 | 0.2194 | 7.5383 | |
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| 0.0027 | 9.02 | 2000 | 0.2400 | 7.3382 | |
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| 0.0019 | 14.02 | 3000 | 0.2426 | 7.4055 | |
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| 0.0011 | 19.02 | 4000 | 0.2689 | 7.3520 | |
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| 0.0014 | 24.02 | 5000 | 0.2849 | 7.5314 | |
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| 0.0004 | 29.02 | 6000 | 0.2932 | 7.2589 | |
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| 0.0001 | 34.02 | 7000 | 0.3069 | 7.1485 | |
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| 0.0001 | 39.02 | 8000 | 0.3143 | 7.1485 | |
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| 0.0001 | 44.02 | 9000 | 0.3196 | 7.1227 | |
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| 0.0001 | 49.02 | 10000 | 0.3218 | 7.1244 | |
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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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