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Browse files
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1
+ ---
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+ license: apache-2.0
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+ base_model: openai/whisper-small
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - 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-small-en-nonnative
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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: common_voice_11_0
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+ config: en
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+ split: test
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+ args: en
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 40.75993091537133
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+ ---
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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
29
+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # whisper-small-en-nonnative
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+
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+ This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) 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: 0.4024
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+ - Wer: 40.7599
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 16
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+ - eval_batch_size: 8
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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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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Wer |
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+ |:-------------:|:-----:|:-----:|:---------------:|:-------:|
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+ | 0.2992 | 0.2 | 1000 | 0.4468 | 29.3898 |
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+ | 0.2918 | 0.39 | 2000 | 0.4240 | 27.1733 |
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+ | 0.3078 | 0.59 | 3000 | 0.4173 | 28.4974 |
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+ | 0.2711 | 0.79 | 4000 | 0.4027 | 24.5538 |
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+ | 0.2813 | 0.98 | 5000 | 0.4029 | 28.6413 |
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+ | 0.1416 | 1.18 | 6000 | 0.4078 | 25.9931 |
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+ | 0.1399 | 1.38 | 7000 | 0.4078 | 28.8140 |
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+ | 0.1478 | 1.57 | 8000 | 0.4070 | 31.3759 |
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+ | 0.1479 | 1.77 | 9000 | 0.4033 | 33.5636 |
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+ | 0.1266 | 1.97 | 10000 | 0.4024 | 40.7599 |
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+
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+
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+ ### Framework versions
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+
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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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