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README.md
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---
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language:
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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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- hf-asr-leaderboard
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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:
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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-
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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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---
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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-large-v3
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tags:
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- hf-asr-leaderboard
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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-large-v3-atc
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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-large-v3-atc
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This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the atc_dataset dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2187
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- Wer: 7.4754
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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: 500
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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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| 0.19 | 0.8446 | 1000 | 0.2450 | 9.4369 |
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| 0.1105 | 1.6892 | 2000 | 0.2092 | 8.4916 |
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| 0.047 | 2.5338 | 3000 | 0.2069 | 7.9794 |
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| 0.017 | 3.3784 | 4000 | 0.2187 | 7.4754 |
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### Framework versions
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model-00001-of-00002.safetensors
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