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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-base
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tags:
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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: model_whisper_base_atco2
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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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# model_whisper_base_atco2
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This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1121
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- Wer: 4.5085
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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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: constant
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- lr_scheduler_warmup_steps: 1000
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- num_epochs: 10
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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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| 0.221 | 1.0 | 1012 | 0.1050 | 6.2112 |
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| 0.062 | 2.0 | 2024 | 0.0924 | 7.5700 |
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| 0.0283 | 3.0 | 3036 | 0.0885 | 5.2969 |
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| 0.0152 | 4.0 | 4048 | 0.0924 | 4.7559 |
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| 0.0081 | 5.0 | 5060 | 0.0966 | 5.3263 |
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| 0.0058 | 6.0 | 6072 | 0.0990 | 4.5169 |
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| 0.0053 | 7.0 | 7084 | 0.1019 | 4.4791 |
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| 0.0041 | 8.0 | 8096 | 0.1057 | 4.2610 |
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| 0.0043 | 9.0 | 9108 | 0.1058 | 4.6217 |
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| 0.0031 | 10.0 | 10120 | 0.1121 | 4.5085 |
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### Framework versions
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- Transformers 4.45.0.dev0
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- Pytorch 2.4.0+cu118
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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