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  1. README.md +48 -2
  2. model.safetensors +1 -1
README.md CHANGED
@@ -3,9 +3,26 @@ 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-ach-only
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- results: []
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -14,7 +31,10 @@ should probably proofread and complete it, then remove this comment. -->
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  [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/bakera-sunbird/huggingface/runs/rycj9ija)
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  # whisper-medium-ach-only
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- This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on an unknown dataset.
 
 
 
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  ## Model description
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  - training_steps: 4000
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  - mixed_precision_training: Native AMP
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  ### Framework versions
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  - Transformers 4.41.0.dev0
 
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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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+ datasets:
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+ - generator
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+ metrics:
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+ - wer
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  model-index:
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  - name: whisper-medium-ach-only
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+ results:
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+ - task:
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+ name: Automatic Speech Recognition
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+ type: automatic-speech-recognition
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+ dataset:
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+ name: generator
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+ type: generator
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+ config: default
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+ split: train
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+ args: default
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 21.152030217186024
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/bakera-sunbird/huggingface/runs/rycj9ija)
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  # whisper-medium-ach-only
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+ This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the generator dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.3942
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+ - Wer: 21.1520
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  ## Model description
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  - training_steps: 4000
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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 |
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+ |:-------------:|:-------:|:----:|:---------------:|:-------:|
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+ | 1.1662 | 0.05 | 200 | 0.7062 | 47.0255 |
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+ | 0.6014 | 1.0248 | 400 | 0.4606 | 32.9556 |
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+ | 0.5638 | 1.0748 | 600 | 0.4021 | 27.2899 |
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+ | 0.3677 | 2.0495 | 800 | 0.3736 | 24.3626 |
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+ | 0.2711 | 3.0242 | 1000 | 0.3648 | 23.5127 |
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+ | 0.2862 | 3.0743 | 1200 | 0.3402 | 23.7016 |
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+ | 0.2023 | 4.049 | 1400 | 0.3665 | 22.4740 |
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+ | 0.1166 | 5.0237 | 1600 | 0.4023 | 23.6072 |
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+ | 0.1089 | 5.0738 | 1800 | 0.3871 | 22.5685 |
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+ | 0.0859 | 6.0485 | 2000 | 0.3837 | 25.6846 |
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+ | 0.0557 | 7.0232 | 2200 | 0.3942 | 21.1520 |
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+ | 0.0572 | 7.0732 | 2400 | 0.3805 | 22.0963 |
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+ | 0.0469 | 8.048 | 2600 | 0.3995 | 23.6072 |
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+ | 0.0308 | 9.0228 | 2800 | 0.4057 | 21.5297 |
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+ | 0.0288 | 9.0727 | 3000 | 0.3999 | 21.1520 |
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+ | 0.0222 | 10.0475 | 3200 | 0.4121 | 21.7186 |
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+ | 0.0239 | 11.0222 | 3400 | 0.4162 | 21.9075 |
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+ | 0.024 | 11.0723 | 3600 | 0.4154 | 21.9075 |
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+ | 0.0219 | 12.047 | 3800 | 0.4186 | 21.3409 |
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+ | 0.0133 | 13.0218 | 4000 | 0.4173 | 21.1520 |
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+
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+
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  ### Framework versions
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  - Transformers 4.41.0.dev0
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