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---
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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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datasets:
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- arrow
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model-index:
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- name: '13123'
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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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# 13123
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This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the arrow dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4595
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- Cer: 16.7167
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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: 32
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- eval_batch_size: 16
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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_ratio: 0.01
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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 | Cer |
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|:-------------:|:------:|:----:|:---------------:|:-------:|
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| 0.5184 | 0.1290 | 1000 | 0.5136 | 17.8441 |
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| 0.4716 | 0.2581 | 2000 | 0.4829 | 17.0947 |
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| 0.4664 | 0.3871 | 3000 | 0.4666 | 16.9219 |
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| 0.4575 | 0.5161 | 4000 | 0.4595 | 16.7167 |
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### Framework versions
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- Transformers 4.41.0.dev0
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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