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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
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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/pkvclqhs)
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  # whisper-medium-ach
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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
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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: 62.298387096774185
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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/pkvclqhs)
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  # whisper-medium-ach
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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: 0.3501
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+ - Wer: 62.2984
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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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+ | 1.081 | 0.05 | 200 | 0.4844 | 138.8609 |
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+ | 0.592 | 1.0248 | 400 | 0.3859 | 154.4355 |
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+ | 0.5445 | 1.0748 | 600 | 0.3434 | 146.1694 |
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+ | 0.3446 | 2.0495 | 800 | 0.3272 | 163.9113 |
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+ | 0.2614 | 3.0242 | 1000 | 0.3098 | 86.2903 |
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+ | 0.2542 | 3.0743 | 1200 | 0.3414 | 91.4315 |
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+ | 0.1972 | 4.049 | 1400 | 0.3289 | 89.3145 |
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+ | 0.1172 | 5.0237 | 1600 | 0.3224 | 100.1008 |
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+ | 0.1226 | 5.0738 | 1800 | 0.3377 | 72.3286 |
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+ | 0.0721 | 6.0485 | 2000 | 0.3277 | 105.8972 |
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+ | 0.0504 | 7.0232 | 2200 | 0.3483 | 80.1411 |
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+ | 0.0503 | 7.0732 | 2400 | 0.3514 | 95.0101 |
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+ | 0.0375 | 8.048 | 2600 | 0.3378 | 64.5665 |
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+ | 0.0348 | 9.0228 | 2800 | 0.3492 | 122.5806 |
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+ | 0.0338 | 9.0727 | 3000 | 0.3502 | 88.6089 |
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+ | 0.0273 | 10.0475 | 3200 | 0.3554 | 88.2560 |
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+ | 0.0194 | 11.0222 | 3400 | 0.3501 | 62.2984 |
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+ | 0.0165 | 11.0723 | 3600 | 0.3478 | 73.3871 |
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+ | 0.0117 | 12.047 | 3800 | 0.3618 | 74.2440 |
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+ | 0.0125 | 13.0218 | 4000 | 0.3587 | 97.6815 |
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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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