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README.md
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base_model: facebook/w2v-bert-2.0
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datasets:
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- openslr
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language:
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- km
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license: mit
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tags:
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- automatic-speech-recognition
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- openslr
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- generated_from_trainer
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model-index:
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- name: training
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results: []
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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 [facebook/w2v-bert-2.0](https://huggingface.co/facebook/w2v-bert-2.0) on the openslr dataset.
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## Model description
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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### Training hyperparameters
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---
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language:
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- km
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license: mit
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base_model: facebook/w2v-bert-2.0
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tags:
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- automatic-speech-recognition
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- openslr
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- generated_from_trainer
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datasets:
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- openslr
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model-index:
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- name: training
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results: []
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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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# Wav2VecBert 2.0 Khmer
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This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/facebook/w2v-bert-2.0) on the OpenSLR 42 dataset.
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## Training and evaluation data
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Eval with 10% of OpenSLR seed: 42
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```
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{
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"epoch": 14.634146341463415,
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"eval_loss": 0.36365753412246704,
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"eval_runtime": 8.7546,
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"eval_samples_per_second": 33.24,
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"eval_steps_per_second": 4.226,
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"eval_wer": 0.2579008973858759,
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"step": 2400
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}
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```
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### Training hyperparameters
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