| ---
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| base_model: openai/whisper-small
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| datasets:
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| - fruk19/S_asr
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| language:
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| - th
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| license: apache-2.0
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| metrics:
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| - wer
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| tags:
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| - generated_from_trainer
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| model-index:
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| - name: South_asri
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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: aicookcook
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| type: fruk19/S_asr
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| config: default
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| split: None
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| args: 'config: th'
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| metrics:
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| - type: wer
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| value: 17.85503355704698
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| name: Wer
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| ---
|
|
|
| <!-- 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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|
|
| # South_asri
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|
|
| This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the aicookcook dataset.
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| It achieves the following results on the evaluation set:
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| - Loss: 0.1529
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| - Wer: 17.8550
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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: 4
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| - eval_batch_size: 4
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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: 99
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| - num_epochs: 3
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| - mixed_precision_training: Native AMP
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|
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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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| | 0.2359 | 1.0 | 3000 | 0.1905 | 22.4242 |
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| | 0.1383 | 2.0 | 6000 | 0.1575 | 18.8403 |
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| | 0.0786 | 3.0 | 9000 | 0.1529 | 17.8550 |
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| ### Framework versions
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|
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| - Transformers 4.41.2
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| - Pytorch 2.0.1+cu117
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| - Datasets 2.20.0
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| - Tokenizers 0.19.1
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|
