End of training
Browse files
README.md
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---
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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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-
- common_voice_16_0
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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: common_voice_16_0
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type: common_voice_16_0
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config: ml
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split: test
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args: ml
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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 common_voice_16_0 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3826
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- Wer: 33.9203
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---
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+
language:
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- ml
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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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+
- mozilla-foundation/common_voice_16_0
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metrics:
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- wer
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model-index:
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+
- name: Breeze DSW Malayalam - small
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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: mozilla-foundation/common_voice_16_0 ml
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type: mozilla-foundation/common_voice_16_0
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config: ml
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split: test
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args: ml
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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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+
# Breeze DSW Malayalam - small
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+
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mozilla-foundation/common_voice_16_0 ml dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3826
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- Wer: 33.9203
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all_results.json
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runs/Jan18_17-40-33_knight/events.out.tfevents.1705596099.knight.168415.0
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