End of training
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- generation_config.json +10 -18
README.md
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---
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base_model: openai/whisper-base
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datasets:
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- fleurs
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language:
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- it
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license: apache-2.0
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- wer
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tags:
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- hf-asr-leaderboard
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- generated_from_trainer
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model-index:
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- name: Whisper Tiny
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results:
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- task:
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type: automatic-speech-recognition
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name: Automatic Speech Recognition
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dataset:
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name: Google Fleurs
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type: fleurs
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split: None
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args: 'config: it split: test'
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metrics:
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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 Tiny
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This model is a fine-tuned version of [openai/whisper-
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Wer:
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-------:|:----:|:---------------:|:-------:|
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### Framework versions
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---
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language:
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- it
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license: apache-2.0
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base_model: openai/whisper-tiny
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tags:
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- hf-asr-leaderboard
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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: Whisper Tiny Italian 5k - Chee Li
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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
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type: fleurs
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split: None
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args: 'config: it split: test'
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metrics:
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- name: Wer
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type: wer
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value: 50.93909245328804
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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 Tiny Italian 5k - Chee Li
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Google Fleurs dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6896
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- Wer: 50.9391
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-------:|:----:|:---------------:|:-------:|
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| 0.195 | 4.6729 | 1000 | 0.4900 | 53.7054 |
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| 0.0248 | 9.3458 | 2000 | 0.5791 | 61.4365 |
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| 0.0076 | 14.0187 | 3000 | 0.6469 | 54.1907 |
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| 0.0044 | 18.6916 | 4000 | 0.6788 | 51.7641 |
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| 0.0036 | 23.3645 | 5000 | 0.6896 | 50.9391 |
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### Framework versions
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generation_config.json
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"begin_suppress_tokens": [
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