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--- |
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language: |
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- ur |
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license: apache-2.0 |
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base_model: openai/whisper-base |
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tags: |
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- generated_from_trainer |
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datasets: |
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- mozilla-foundation/common_voice_11_0 |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Base Ur - TahaMan |
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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: Common Voice 11.0 |
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type: mozilla-foundation/common_voice_11_0 |
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config: ur |
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split: None |
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args: 'config: ur, split: test' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 60.76523994811932 |
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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 Base Ur - TahaMan |
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This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Common Voice 11.0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1893 |
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- Wer: 60.7652 |
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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: 8 |
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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: 50 |
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- training_steps: 500 |
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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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| 1.1544 | 4.0 | 50 | 0.9766 | 57.2633 | |
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| 0.5159 | 8.0 | 100 | 0.9178 | 75.0324 | |
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| 0.2399 | 12.0 | 150 | 0.9604 | 76.7185 | |
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| 0.1005 | 16.0 | 200 | 1.0300 | 59.1440 | |
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| 0.0372 | 20.0 | 250 | 1.0988 | 70.0389 | |
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| 0.0168 | 24.0 | 300 | 1.1373 | 66.3424 | |
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| 0.0109 | 28.0 | 350 | 1.1638 | 61.0246 | |
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| 0.0085 | 32.0 | 400 | 1.1781 | 61.0895 | |
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| 0.0074 | 36.0 | 450 | 1.1864 | 60.9598 | |
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| 0.0069 | 40.0 | 500 | 1.1893 | 60.7652 | |
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### Framework versions |
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- Transformers 4.42.3 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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