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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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- en
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license: apache-2.0
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base_model: openai/whisper-small
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tags:
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metrics:
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- wer
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model-index:
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- name: Whisper-squeezeformer-
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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-squeezeformer-
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the
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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: 2500
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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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| 0.0993 | 6.0 | 15000 | 0.1553 | 7.8039 |
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| 0.0651 | 7.0 | 17500 | 0.1555 | 7.2448 |
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| 0.0468 | 8.0 | 20000 | 0.1569 | 7.1497 |
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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: openai/whisper-small
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tags:
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metrics:
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- wer
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model-index:
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- name: Whisper-squeezeformer-v3
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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-squeezeformer-v3
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1511
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- Wer: 6.8035
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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: 2500
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- training_steps: 30000
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- mixed_precision_training: Native AMP
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### Training results
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| 0.0993 | 6.0 | 15000 | 0.1553 | 7.8039 |
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| 0.0651 | 7.0 | 17500 | 0.1555 | 7.2448 |
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| 0.0468 | 8.0 | 20000 | 0.1569 | 7.1497 |
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| 0.2168 | 9.0 | 22500 | 0.1509 | 7.0507 |
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| 0.1467 | 10.0 | 25000 | 0.1494 | 6.9671 |
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| 0.1113 | 11.0 | 27500 | 0.1493 | 6.7597 |
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| 0.0914 | 12.0 | 30000 | 0.1511 | 6.8035 |
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### Framework versions
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model.safetensors
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