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README.md
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---
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language:
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- hi
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license: apache-2.0
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base_model: facebook/wav2vec2-large-xlsr-53
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tags:
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- automatic-speech-recognition
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- mozilla-foundation/common_voice_15_0
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- mms
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- generated_from_trainer
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datasets:
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- common_voice_15_0
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metrics:
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- wer
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model-index:
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- name: wav2vec2-common_voice-en-demo
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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: MOZILLA-FOUNDATION/COMMON_VOICE_15_0 - HI
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type: common_voice_15_0
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config: hi
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split: validation
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args: 'Config: hi, Training split: train, Eval split: validation'
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metrics:
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- name: Wer
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type: wer
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value: 1.0023633677991137
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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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# wav2vec2-common_voice-en-demo
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This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the
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It achieves the following results on the evaluation set:
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- Loss: 20.2294
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- Wer: 1.0024
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:------:|:----:|:---------------:|:------:|
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| No log | 0.6897 | 100 | 21.
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### Framework versions
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- Transformers 4.42.0.dev0
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.
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- Tokenizers 0.19.1
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---
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license: apache-2.0
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base_model: facebook/wav2vec2-large-xlsr-53
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tags:
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- generated_from_trainer
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datasets:
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- common_voice_15_0
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model-index:
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- name: wav2vec2-common_voice-en-demo
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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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# wav2vec2-common_voice-en-demo
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This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the common_voice_15_0 dataset.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:------:|:----:|:---------------:|:------:|
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| No log | 0.6897 | 100 | 21.9464 | 1.0002 |
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### Framework versions
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- Transformers 4.42.0.dev0
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.2
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- Tokenizers 0.19.1
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