End of training
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README.md
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---
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license: apache-2.0
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base_model:
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tags:
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- generated_from_trainer
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datasets:
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- common_voice_11_0
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model-index:
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- name:
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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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should probably proofread and complete it, then remove this comment. -->
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#
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This model is a fine-tuned version of [
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## Model description
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- training_steps: 5000
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.41.2
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---
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language:
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- ro
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license: apache-2.0
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base_model: openai/whisper-tiny
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tags:
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- generated_from_trainer
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datasets:
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- mozilla-foundation/common_voice_11_0
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metrics:
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- wer
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model-index:
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- name: Whisper Tiny RO - Georgescu Dumitru
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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: Common Voice 17.0
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type: mozilla-foundation/common_voice_11_0
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config: ro
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split: None
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args: 'config: ro, split: test'
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metrics:
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- name: Wer
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type: wer
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value: 37.72910622036657
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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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should probably proofread and complete it, then remove this comment. -->
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# Whisper Tiny RO - Georgescu Dumitru
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice 17.0 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4606
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- Wer: 37.7291
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## Model description
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- training_steps: 5000
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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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| 11.2437 | 1.7986 | 1000 | 0.4601 | 37.6053 |
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| 10.9474 | 3.5971 | 2000 | 0.4602 | 37.0002 |
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| 10.736 | 5.3957 | 3000 | 0.4604 | 37.5310 |
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| 10.6145 | 7.1942 | 4000 | 0.4605 | 37.7114 |
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| 10.5325 | 8.9928 | 5000 | 0.4606 | 37.7291 |
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### Framework versions
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- Transformers 4.41.2
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model.safetensors
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