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stillerman
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stammer-small

Automatic Speech Recognition
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whisper
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stillerman/stammer

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  1. README.md +7 -5
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3328
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- - Wer: 39.2157
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  ## Model description
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@@ -44,15 +44,17 @@ The following hyperparameters were used during training:
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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: 10
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- - training_steps: 50
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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 |
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  |:-------------:|:------:|:----:|:---------------:|:-------:|
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- | 0.4879 | 3.5714 | 25 | 0.4535 | 37.2549 |
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- | 0.0704 | 7.1429 | 50 | 0.3328 | 39.2157 |
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4497
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+ - Wer: 35.7430
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  ## Model description
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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: 10
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+ - training_steps: 100
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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 |
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  |:-------------:|:------:|:----:|:---------------:|:-------:|
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+ | 0.9039 | 0.3968 | 25 | 0.7568 | 42.1687 |
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+ | 0.4742 | 0.7937 | 50 | 0.4766 | 35.9438 |
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+ | 0.3073 | 1.1905 | 75 | 0.4589 | 35.1406 |
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+ | 0.3061 | 1.5873 | 100 | 0.4497 | 35.7430 |
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  ### Framework versions