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FunPang/whisper_base_atco2

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README.md CHANGED
@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1027
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- - Wer: 6.6516
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  ## Model description
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@@ -44,14 +44,23 @@ The following hyperparameters were used during training:
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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
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- - lr_scheduler_warmup_steps: 100
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- - num_epochs: 1
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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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- | 0.2205 | 1.0 | 1012 | 0.1027 | 6.6516 |
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1121
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+ - Wer: 4.5085
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  ## Model description
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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
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+ - lr_scheduler_warmup_steps: 1000
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+ - num_epochs: 10
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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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+ | 0.221 | 1.0 | 1012 | 0.1050 | 6.2112 |
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+ | 0.062 | 2.0 | 2024 | 0.0924 | 7.5700 |
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+ | 0.0283 | 3.0 | 3036 | 0.0885 | 5.2969 |
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+ | 0.0152 | 4.0 | 4048 | 0.0924 | 4.7559 |
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+ | 0.0081 | 5.0 | 5060 | 0.0966 | 5.3263 |
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+ | 0.0058 | 6.0 | 6072 | 0.0990 | 4.5169 |
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+ | 0.0053 | 7.0 | 7084 | 0.1019 | 4.4791 |
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+ | 0.0041 | 8.0 | 8096 | 0.1057 | 4.2610 |
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+ | 0.0043 | 9.0 | 9108 | 0.1058 | 4.6217 |
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+ | 0.0031 | 10.0 | 10120 | 0.1121 | 4.5085 |
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  ### Framework versions
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