End of training
Browse files- README.md +15 -2
- all_results.json +16 -0
- eval_results.json +10 -0
- train_results.json +9 -0
- trainer_state.json +148 -0
README.md
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@@ -4,11 +4,24 @@ license: apache-2.0
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base_model: openai/whisper-base
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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-base-sdh
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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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@@ -16,7 +29,7 @@ should probably proofread and complete it, then remove this comment. -->
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# whisper-base-sdh
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-
This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on
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It achieves the following results on the evaluation set:
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- Loss: 0.6611
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- Wer: 0.6882
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base_model: openai/whisper-base
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tags:
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- generated_from_trainer
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+
datasets:
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- razhan/DOLMA-speech
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metrics:
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- wer
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model-index:
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- name: whisper-base-sdh
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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: razhan/DOLMA-speech southern_kurdish
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type: razhan/DOLMA-speech
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args: southern_kurdish
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metrics:
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- name: Wer
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type: wer
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value: 0.6882181444006173
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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-base-sdh
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+
This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the razhan/DOLMA-speech southern_kurdish dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6611
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- Wer: 0.6882
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all_results.json
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{
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"epoch": 5.0,
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"eval_cer": 0.21645465736561345,
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"eval_loss": 0.6611320376396179,
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"eval_samples_per_second": 14.684,
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"eval_steps_per_second": 0.058,
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"eval_wer": 0.6882181444006173,
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"total_flos": 1.9924990745190072e+18,
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"train_samples_per_second": 14.442,
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"train_steps_per_second": 0.039
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}
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eval_results.json
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{
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"epoch": 5.0,
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"eval_cer": 0.21645465736561345,
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"eval_steps_per_second": 0.058,
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"eval_wer": 0.6882181444006173
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}
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train_results.json
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}
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trainer_state.json
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