End of training
Browse files- README.md +10 -9
- all_results.json +10 -10
- eval_results.json +6 -6
- train_results.json +5 -5
- trainer_state.json +285 -280
README.md
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license: apache-2.0
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base_model: openai/whisper-small
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tags:
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- generated_from_trainer
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datasets:
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- fleurs
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metrics:
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- wer
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model-index:
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- name:
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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: fleurs
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type: fleurs
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config: sn_zw
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split: test
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args: sn_zw
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metrics:
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- name: Wer
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type: wer
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value: 45.
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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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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 [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the fleurs 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: 45.
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## Model description
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license: apache-2.0
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base_model: openai/whisper-small
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tags:
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+
- whisper-event
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- generated_from_trainer
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datasets:
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- google/fleurs
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metrics:
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- wer
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model-index:
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- name: Whisper small shona
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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: google/fleurs sn_zw
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type: google/fleurs
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config: sn_zw
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split: test
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args: sn_zw
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metrics:
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- name: Wer
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type: wer
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+
value: 45.9
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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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should probably proofread and complete it, then remove this comment. -->
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+
# Whisper small shona
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the google/fleurs sn_zw dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9653
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- Wer: 45.9
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## Model description
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all_results.json
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