End of training
Browse files- README.md +17 -4
- all_results.json +12 -6
- eval_results.json +9 -0
- runs/Oct02_12-22-25_DITEC2014063010/events.out.tfevents.1727891763.DITEC2014063010 +3 -0
- train_results.json +6 -6
- trainer_state.json +10 -10
README.md
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base_model: openai/whisper-large-v3
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tags:
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- generated_from_trainer
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metrics:
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- wer
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model-index:
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- name: whisper-large-v3-pt-cv19-fleurs
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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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# whisper-large-v3-pt-cv19-fleurs
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This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on
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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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base_model: openai/whisper-large-v3
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tags:
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- generated_from_trainer
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datasets:
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- fsicoli/cv19-fleurs
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metrics:
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- wer
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model-index:
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- name: whisper-large-v3-pt-cv19-fleurs
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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: fsicoli/cv19-fleurs default
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type: fsicoli/cv19-fleurs
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args: default
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metrics:
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- name: Wer
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type: wer
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value: 0.08493312855954438
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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-cv19-fleurs
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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/cv19-fleurs default dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1823
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- Wer: 0.0849
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## Model description
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all_results.json
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"train_samples": 34956,
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"train_samples_per_second":
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eval_results.json
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"eval_wer": 0.08493312855954438
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}
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runs/Oct02_12-22-25_DITEC2014063010/events.out.tfevents.1727891763.DITEC2014063010
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version https://git-lfs.github.com/spec/v1
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oid sha256:7f2fdd4fcd2d717ccacdd086e3dfdf811cde85f14d01144f205ed5ce1da81bc1
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size 40
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train_results.json
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trainer_state.json
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