adityaedy01
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- model.safetensors +1 -1
README.md
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---
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language:
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license: apache-2.0
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base_model: openai/whisper-small
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tags:
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metrics:
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- wer
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model-index:
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- name: Whisper Small
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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:
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type: mozilla-foundation/common_voice_11_0
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args: 'config: hi, split: test'
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metrics:
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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 Small
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Wer: 0.0
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## Model description
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 500
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- training_steps:
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch
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| 0.
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### Framework versions
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---
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language:
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- so
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license: apache-2.0
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base_model: openai/whisper-small
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tags:
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metrics:
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- wer
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model-index:
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- name: Whisper Small Somalia
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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: Somali Dataset
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type: mozilla-foundation/common_voice_11_0
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args: 'config: hi, split: test'
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metrics:
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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 Small Somalia
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Somali Dataset dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0005
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- Wer: 0.0
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## Model description
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 500
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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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| 0.2361 | 6.5359 | 1000 | 0.0235 | 0.6506 |
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| 0.0062 | 13.0719 | 2000 | 0.0024 | 0.0 |
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| 0.0007 | 19.6078 | 3000 | 0.0006 | 0.0 |
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| 0.0005 | 26.1438 | 4000 | 0.0005 | 0.0 |
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### Framework versions
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model.safetensors
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