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README.md
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---
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library_name: transformers
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language:
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- zh
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license: apache-2.0
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base_model:
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tags:
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- generated_from_trainer
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model-index:
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- name: Whisper-Small-
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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-Small-
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Cer:
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## Model description
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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: 3750
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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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| 0.7219 | 4.0 | 15000 | 49.1456 | 0.8063 |
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| 0.5387 | 5.0 | 18750 | 41.2985 | 0.6620 |
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| 0.3824 | 6.0 | 22500 | 39.1312 | 0.6240 |
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| 0.3445 | 7.0 | 26250 |
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| 0.2819 | 8.0 | 30000 |
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### Framework versions
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---
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library_name: transformers
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license: apache-2.0
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base_model: jun-han/Whisper-Small-architecture-change
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tags:
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- generated_from_trainer
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model-index:
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- name: Whisper-Small-architecture-change
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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-Small-architecture-change
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This model is a fine-tuned version of [jun-han/Whisper-Small-architecture-change](https://huggingface.co/jun-han/Whisper-Small-architecture-change) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4281
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- Cer: 24.9352
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## Model description
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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: 3750
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- training_steps: 60000
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- mixed_precision_training: Native AMP
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### Training results
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| 0.7219 | 4.0 | 15000 | 49.1456 | 0.8063 |
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| 0.5387 | 5.0 | 18750 | 41.2985 | 0.6620 |
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| 0.3824 | 6.0 | 22500 | 39.1312 | 0.6240 |
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| 0.3445 | 7.0 | 26250 | 37.5137 | 0.5984 |
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| 0.2819 | 8.0 | 30000 | 36.6006 | 0.5823 |
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| 0.538 | 9.0 | 33750 | 0.5156 | 30.9133 |
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| 0.3792 | 10.0 | 37500 | 0.4562 | 27.3205 |
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| 0.2974 | 11.0 | 41250 | 0.4408 | 26.4521 |
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| 0.2281 | 12.0 | 45000 | 0.4225 | 25.7254 |
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| 0.1644 | 13.0 | 48750 | 0.4207 | 25.1123 |
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| 0.1208 | 14.0 | 52500 | 0.4241 | 25.0098 |
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| 0.0877 | 15.0 | 56250 | 0.4232 | 24.9781 |
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| 0.0652 | 16.0 | 60000 | 0.4281 | 24.9352 |
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### Framework versions
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model.safetensors
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