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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-tiny
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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: sumukhshadakshari/whisper-finetuned-cv-en
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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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# sumukhshadakshari/whisper-finetuned-cv-en
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the cv dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.4536
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- Wer: 31.4687
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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: 16
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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_steps: 500
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- num_epochs: 3
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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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| 2.6045 | 1.0 | 121 | 2.1470 | 33.3727 |
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| 1.6307 | 2.0 | 242 | 1.7560 | 30.4642 |
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| 1.2067 | 3.0 | 363 | 1.4536 | 31.4687 |
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### Framework versions
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- Transformers 4.45.2
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- Pytorch 2.4.1
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- Datasets 2.21.0
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- Tokenizers 0.20.1
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