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Hiro-nguyen
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whisper-small-hi

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
English
whisper
hf-asr-leaderboard
Generated from Trainer
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End of training

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  1. README.md +14 -14
  2. model.safetensors +1 -1
  3. runs/Jun14_01-55-59_z390-a/events.out.tfevents.1718330165.z390-a.501.0 +2 -2
README.md CHANGED
@@ -20,8 +20,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [openai/whisper-medium.en](https://huggingface.co/openai/whisper-medium.en) on the ADLINK dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0003
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- - Wer: 1.5152
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  ## Model description
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@@ -52,18 +52,18 @@ The following hyperparameters were used during training:
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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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- | 1.0495 | 25.0 | 100 | 1.0270 | 2.1212 |
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- | 0.3802 | 50.0 | 200 | 0.3923 | 1.8182 |
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- | 0.0205 | 75.0 | 300 | 0.0130 | 1.8182 |
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- | 0.0012 | 100.0 | 400 | 0.0012 | 0.9091 |
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- | 0.0006 | 125.0 | 500 | 0.0006 | 0.9091 |
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- | 0.0004 | 150.0 | 600 | 0.0004 | 0.9091 |
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- | 0.0003 | 175.0 | 700 | 0.0003 | 0.9091 |
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- | 0.0003 | 200.0 | 800 | 0.0003 | 2.1212 |
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- | 0.0003 | 225.0 | 900 | 0.0003 | 2.1212 |
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- | 0.0003 | 250.0 | 1000 | 0.0003 | 1.5152 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [openai/whisper-medium.en](https://huggingface.co/openai/whisper-medium.en) on the ADLINK dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0017
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+ - Wer: 1.3384
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  ## Model description
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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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+ | 2.7899 | 4.1667 | 100 | 2.3530 | 21.4149 |
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+ | 0.8377 | 8.3333 | 200 | 0.7500 | 4.2065 |
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+ | 0.0599 | 12.5 | 300 | 0.0394 | 1.9120 |
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+ | 0.0163 | 16.6667 | 400 | 0.0151 | 2.1033 |
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+ | 0.0068 | 20.8333 | 500 | 0.0023 | 1.1472 |
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+ | 0.0031 | 25.0 | 600 | 0.0018 | 1.3384 |
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+ | 0.0027 | 29.1667 | 700 | 0.0023 | 1.3384 |
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+ | 0.0018 | 33.3333 | 800 | 0.0020 | 1.3384 |
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+ | 0.003 | 37.5 | 900 | 0.0017 | 1.3384 |
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+ | 0.0009 | 41.6667 | 1000 | 0.0017 | 1.3384 |
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  ### Framework versions
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