End of training
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README.md
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metrics:
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- wer
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model-index:
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- name: Whisper Tiny English
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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 Tiny English
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the commands_dataset 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:
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## Model description
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps:
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- training_steps:
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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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### Framework versions
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metrics:
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- wer
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model-index:
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- name: Whisper Tiny English v2
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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 Tiny English v2
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the commands_dataset dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0003
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- Wer: 3.3333
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## Model description
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 30
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- training_steps: 300
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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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| 0.0098 | 1.0 | 75 | 0.0038 | 3.3333 |
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| 0.0035 | 2.0 | 150 | 0.0006 | 3.75 |
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| 0.0031 | 3.0 | 225 | 0.0004 | 3.1667 |
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| 0.0012 | 4.0 | 300 | 0.0003 | 3.3333 |
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### Framework versions
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model.safetensors
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runs/Jan28_18-22-21_a61240245982/events.out.tfevents.1706466701.a61240245982.31707.0
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training_args.bin
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