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README.md
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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
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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
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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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| 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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### Framework versions
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- Transformers 4.41.0.dev0
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model.safetensors
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