Commit
•
a49566a
1
Parent(s):
ad84922
End of training
Browse files- README.md +6 -3
- all_results.json +9 -9
- eval_results.json +5 -5
- train_results.json +4 -4
- trainer_state.json +304 -304
README.md
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---
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tags:
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- generated_from_trainer
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datasets:
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- timit_asr
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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: timit_asr
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config: clean
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split: test
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args:
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metrics:
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- name: Wer
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type: wer
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# wav2vec2-base-hyperVQ-timit-fine-tuned
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This model
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It achieves the following results on the evaluation set:
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- Loss: 3.3628
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- Wer: 0.9993
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---
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base_model: wav2vec2-pretrained-base-hyperVQ
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tags:
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- automatic-speech-recognition
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- timit_asr
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- generated_from_trainer
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datasets:
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- timit_asr
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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: TIMIT_ASR - NA
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type: timit_asr
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config: clean
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split: test
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args: 'Config: na, Training split: train, Eval split: test'
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metrics:
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- name: Wer
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type: wer
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# wav2vec2-base-hyperVQ-timit-fine-tuned
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This model is a fine-tuned version of [wav2vec2-pretrained-base-hyperVQ](https://huggingface.co/wav2vec2-pretrained-base-hyperVQ) on the TIMIT_ASR - NA dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.3628
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- Wer: 0.9993
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all_results.json
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{
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"eval_wer": 0.
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"train_loss":
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eval_results.json
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{
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train_results.json
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trainer_state.json
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