End of training
Browse files- README.md +9 -6
- all_results.json +9 -9
- eval_results.json +5 -5
- runs/May24_13-33-16_tz579-raptorlake/events.out.tfevents.1716578945.tz579-raptorlake.8629.1 +3 -0
- train_results.json +4 -4
- trainer_state.json +641 -641
README.md
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---
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base_model: facebook/wav2vec2-base
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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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value: 0.
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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-base-timit-fine-tuned
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) 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.
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## Model description
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---
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license: apache-2.0
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base_model: facebook/wav2vec2-base
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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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value: 0.4090867704634435
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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-base-timit-fine-tuned
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the TIMIT_ASR - NA dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4218
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- Wer: 0.4091
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## Model description
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all_results.json
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runs/May24_13-33-16_tz579-raptorlake/events.out.tfevents.1716578945.tz579-raptorlake.8629.1
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