| | ---
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| | library_name: transformers
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| | language:
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| | - ug
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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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| | - 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 Small ug - Sanchit Gandhi
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| | results:
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| | - task:
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| | type: automatic-speech-recognition
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| | name: Automatic Speech Recognition
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| | dataset:
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| | name: Common Voice 11
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| | type: mozilla-foundation/common_voice_11_0
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| | config: ug
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| | split: test
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| | args: ug
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| | metrics:
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| | - type: wer
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| | value: 34.25947275382369
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| | name: Wer
|
| | ---
|
| |
|
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| | should probably proofread and complete it, then remove this comment. -->
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| |
|
| | # Whisper Small ug - Sanchit Gandhi
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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 dataset.
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| | It achieves the following results on the evaluation set:
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| | - Loss: 0.3966
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| | - Wer Ortho: 39.5518
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| | - Wer: 34.2595
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| |
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| | ## Model description
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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: 2e-05
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| | - train_batch_size: 16
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| | - eval_batch_size: 16
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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: constant_with_warmup
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| | - lr_scheduler_warmup_steps: 500
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| | - training_steps: 5000
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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 Ortho | Wer |
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| | |:-------------:|:-------:|:----:|:---------------:|:---------:|:-------:|
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| | | 0.0842 | 3.9216 | 1000 | 0.2856 | 44.0534 | 37.9371 |
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| | | 0.0173 | 7.8431 | 2000 | 0.3364 | 40.8646 | 34.9089 |
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| | | 0.0087 | 11.7647 | 3000 | 0.3656 | 39.9169 | 34.3824 |
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| | | 0.0065 | 15.6863 | 4000 | 0.3966 | 39.5518 | 34.2595 |
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| | | 0.0068 | 19.6078 | 5000 | 0.3997 | 39.5790 | 34.3210 |
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| |
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| |
|
| | ### Framework versions
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| |
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| | - Transformers 4.45.2
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| | - Pytorch 1.12.0+cu113
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| | - Datasets 3.0.2
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| | - Tokenizers 0.20.1
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| | |
