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speechllm-2B

Feature Extraction
Transformers
Safetensors
English
custom_model
multi-modal
speech-language
custom_code
Eval Results
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@@ -56,7 +56,7 @@ model-index:
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  language: en
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  metrics:
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  - type: wer
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- value: 26.02
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  name: Test WER
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  - task:
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  type: audio-classification
@@ -136,4 +136,4 @@ Try the model in [Google Colab Notebook](https://colab.research.google.com/drive
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  |:--------------------------:|:-------------------:|:-------------------:|:--------------:|:-----------:|:--------------:|
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  | **librispeech-test-clean** | Read Speech | 6.73 | 0.9496 | | |
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  | **librispeech-test-other** | Read Speech | 9.13 | 0.9217 | | |
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- | **CommonVoice test** | Diverse Accent, Age | 26.02 | 0.8680 | 0.6041 | 0.6959 |
 
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  language: en
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  metrics:
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  - type: wer
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+ value: 25.66
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  name: Test WER
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  - task:
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  type: audio-classification
 
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  |:--------------------------:|:-------------------:|:-------------------:|:--------------:|:-----------:|:--------------:|
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  | **librispeech-test-clean** | Read Speech | 6.73 | 0.9496 | | |
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  | **librispeech-test-other** | Read Speech | 9.13 | 0.9217 | | |
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+ | **CommonVoice test** | Diverse Accent, Age | 25.66 | 0.8680 | 0.6041 | 0.6959 |