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Model_G_S_Berita_Wav2Vec2

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
wav2vec2
Generated from Trainer
Model card Files
xet
 Metrics Community
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rossevine commited on
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update model card README.md

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  ---
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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  - name: Model_G_S_Berita_Wav2Vec2
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  results: []
@@ -13,9 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model was trained from scratch on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0238
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- - Wer: 0.0266
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- - Cer: 0.0049
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  ## Model description
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 500
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  - num_epochs: 30
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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 | Cer |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
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- | 0.3377 | 12.5 | 400 | 0.0482 | 0.0748 | 0.0118 |
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- | 0.0269 | 25.0 | 800 | 0.0238 | 0.0266 | 0.0049 |
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  ### Framework versions
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- - Transformers 4.11.3
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- - Pytorch 1.10.0+cu113
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  - Datasets 1.18.3
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- - Tokenizers 0.10.3
 
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  ---
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  tags:
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  - generated_from_trainer
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+ metrics:
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+ - wer
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  model-index:
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  - name: Model_G_S_Berita_Wav2Vec2
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  results: []
 
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  This model was trained from scratch on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0239
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+ - Wer: 0.0350
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+ - Cer: 0.0055
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  ## Model description
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 500
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  - num_epochs: 30
 
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
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+ | 0.3535 | 12.5 | 400 | 0.0680 | 0.0888 | 0.0139 |
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+ | 0.0269 | 25.0 | 800 | 0.0239 | 0.0350 | 0.0055 |
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  ### Framework versions
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+ - Transformers 4.31.0
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+ - Pytorch 2.0.1+cu117
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  - Datasets 1.18.3
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+ - Tokenizers 0.13.3