End of training
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- generation_config.json +10 -26
- model.safetensors +1 -1
README.md
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@@ -3,7 +3,7 @@ library_name: transformers
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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-
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tags:
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- generated_from_trainer
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datasets:
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metrics:
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- wer
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model-index:
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- name: Whisper
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results:
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- task:
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name: Automatic Speech Recognition
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metrics:
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- name: Wer
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type: wer
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value:
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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
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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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- 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: 500
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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
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| 0.
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### Framework versions
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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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datasets:
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metrics:
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- wer
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model-index:
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- name: Whisper Tiny id - Zein
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results:
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- task:
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name: Automatic Speech Recognition
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metrics:
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- name: Wer
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type: wer
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value: 49.15607901326162
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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 id - Zein
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice 11.0 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9557
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- Wer: 49.1561
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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: 500
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- training_steps: 6000
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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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| 0.3251 | 3.1646 | 1000 | 0.7617 | 48.4559 |
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| 0.1132 | 6.3291 | 2000 | 0.7951 | 47.6630 |
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| 0.0414 | 9.4937 | 3000 | 0.8504 | 48.5208 |
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| 0.0146 | 12.6582 | 4000 | 0.9079 | 49.3647 |
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| 0.0083 | 15.8228 | 5000 | 0.9421 | 48.9057 |
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| 0.0064 | 18.9873 | 6000 | 0.9557 | 49.1561 |
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### Framework versions
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generation_config.json
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model.safetensors
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