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End of training
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- model.safetensors +1 -1
README.md
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---
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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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- generated_from_trainer
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model-index:
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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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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-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset.
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It achieves the following results on the evaluation set:
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- eval_runtime: 4.6316
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- eval_samples_per_second: 1.08
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- eval_steps_per_second: 0.216
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- epoch: 333.33
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- step: 1000
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## Model description
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- training_steps: 4000
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.38.0.dev0
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language:
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- hi
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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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- 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-Hin_SpeechTINYEngText
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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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should probably proofread and complete it, then remove this comment. -->
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# Whisper-Hin_SpeechTINYEngText
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0001
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- Wer: 133.7778
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## Model description
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- training_steps: 4000
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-------:|:----:|:---------------:|:--------:|
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| 0.0004 | 333.33 | 1000 | 0.0004 | 136.4444 |
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| 0.0002 | 666.67 | 2000 | 0.0002 | 160.0 |
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| 0.0001 | 1000.0 | 3000 | 0.0001 | 109.3333 |
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| 0.0001 | 1333.33 | 4000 | 0.0001 | 133.7778 |
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### Framework versions
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- Transformers 4.38.0.dev0
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model.safetensors
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