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End of training

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  1. README.md +29 -0
  2. model.safetensors +1 -1
README.md CHANGED
@@ -6,6 +6,11 @@ license: apache-2.0
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  base_model: openai/whisper-medium
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  tags:
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  - generated_from_trainer
 
 
 
 
 
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  model-index:
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  - name: ./whisper-medium-ea_5hr_v2
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  results: []
@@ -17,6 +22,14 @@ should probably proofread and complete it, then remove this comment. -->
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  # ./whisper-medium-ea_5hr_v2
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  This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Afrispeech-200 dataset.
 
 
 
 
 
 
 
 
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  ## Model description
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@@ -45,6 +58,22 @@ The following hyperparameters were used during training:
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  - training_steps: 500
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  - mixed_precision_training: Native AMP
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  ### Framework versions
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  - Transformers 4.52.1
 
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  base_model: openai/whisper-medium
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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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+ - precision
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+ - recall
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+ - f1
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  model-index:
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  - name: ./whisper-medium-ea_5hr_v2
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  results: []
 
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  # ./whisper-medium-ea_5hr_v2
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  This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Afrispeech-200 dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4999
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+ - Wer Ortho: 0.2185
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+ - Wer: 0.1579
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+ - Cer: 0.0705
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+ - Precision: 0.9097
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+ - Recall: 0.9048
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+ - F1: 0.9068
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  ## Model description
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  - training_steps: 500
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  - mixed_precision_training: Native AMP
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer | Cer | Precision | Recall | F1 |
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+ |:-------------:|:------:|:----:|:---------------:|:---------:|:------:|:------:|:---------:|:------:|:------:|
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+ | 0.5036 | 0.1179 | 50 | 0.6665 | 0.2366 | 0.1752 | 0.0784 | 0.9011 | 0.8964 | 0.8982 |
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+ | 0.5931 | 0.2358 | 100 | 0.5603 | 0.2211 | 0.1622 | 0.0689 | 0.9073 | 0.9022 | 0.9043 |
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+ | 0.5468 | 0.3538 | 150 | 0.5329 | 0.2344 | 0.1807 | 0.0911 | 0.9033 | 0.8938 | 0.8974 |
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+ | 0.5159 | 0.4717 | 200 | 0.5213 | 0.2247 | 0.1675 | 0.0814 | 0.9084 | 0.9044 | 0.9058 |
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+ | 0.4744 | 0.5896 | 250 | 0.5160 | 0.2332 | 0.1703 | 0.0805 | 0.9064 | 0.8987 | 0.9016 |
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+ | 0.4753 | 0.7075 | 300 | 0.5132 | 0.2116 | 0.1536 | 0.0661 | 0.9097 | 0.9061 | 0.9074 |
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+ | 0.5142 | 0.8255 | 350 | 0.4989 | 0.2272 | 0.1646 | 0.0755 | 0.9063 | 0.9023 | 0.9036 |
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+ | 0.4951 | 0.9434 | 400 | 0.4928 | 0.2152 | 0.1618 | 0.0713 | 0.9098 | 0.9062 | 0.9073 |
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+ | 0.2467 | 1.0613 | 450 | 0.4990 | 0.2084 | 0.1510 | 0.0648 | 0.9155 | 0.9106 | 0.9126 |
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+ | 0.211 | 1.1792 | 500 | 0.4999 | 0.2185 | 0.1579 | 0.0705 | 0.9097 | 0.9048 | 0.9068 |
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+
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+
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  ### Framework versions
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  - Transformers 4.52.1
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