End of training
Browse files- README.md +7 -7
- all_results.json +11 -11
- eval_results.json +6 -6
- runs/Aug20_11-34-00_DITEC2014063010/events.out.tfevents.1724865406.DITEC2014063010.27248.1 +3 -0
- train_results.json +6 -6
- trainer_state.json +1869 -241
README.md
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tags:
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- generated_from_trainer
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datasets:
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- common_voice_18_0
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metrics:
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- wer
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model-index:
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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: common_voice_18_0
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type: common_voice_18_0
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config: pt
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split: None
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args: pt
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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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# whisper-large-v3-pt-3000h-3
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This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the common_voice_18_0 dataset.
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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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tags:
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- generated_from_trainer
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datasets:
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- fsicoli/common_voice_18_0
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metrics:
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- wer
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model-index:
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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: fsicoli/common_voice_18_0 pt
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type: fsicoli/common_voice_18_0
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config: pt
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split: None
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args: pt
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metrics:
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- name: Wer
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type: wer
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value: 0.10736707238949392
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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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# whisper-large-v3-pt-3000h-3
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+
This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the fsicoli/common_voice_18_0 pt dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1501
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- Wer: 0.1074
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## Model description
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