| | ---
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| | license: apache-2.0
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| | base_model: openai/whisper-tiny
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| | tags:
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| | - generated_from_trainer
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| | datasets:
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| | - audiofolder
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| | metrics:
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| | - wer
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| | model-index:
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| | - name: whisper-tiny-300v2
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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: audiofolder
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| | type: audiofolder
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| | config: default
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| | split: test
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| | args: default
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| | metrics:
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| | - name: Wer
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| | type: wer
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| | value: 86.48648648648648
|
| | ---
|
| |
|
| | <!-- 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-tiny-300v2
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| |
|
| | This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the audiofolder dataset.
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| | It achieves the following results on the evaluation set:
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| | - Loss: 1.4117
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| | - Wer Ortho: 83.7838
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| | - Wer: 86.4865
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| |
|
| | ## Model description
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| |
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| | More information needed
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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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| |
|
| | ## 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: 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: 30
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| | - training_steps: 300
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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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| | | 0.2322 | 20.0 | 60 | 1.3194 | 83.7838 | 83.7838 |
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| | | 0.0267 | 40.0 | 120 | 1.3785 | 81.0811 | 81.0811 |
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| | | 0.0002 | 60.0 | 180 | 1.3838 | 81.0811 | 81.0811 |
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| | | 0.0001 | 80.0 | 240 | 1.4049 | 83.7838 | 83.7838 |
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| | | 0.0 | 100.0 | 300 | 1.4117 | 83.7838 | 86.4865 |
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| |
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| |
|
| | ### Framework versions
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| |
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| | - Transformers 4.41.2
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| | - Pytorch 2.3.0+cu121
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| | - Datasets 2.19.1
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| | - Tokenizers 0.19.1
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| | |
