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README.md
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---
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base_model: KevinKibe/whisper-medium-finetuned
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datasets:
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- common_voice_16_1
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library_name: peft
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license: apache-2.0
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tags:
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- generated_from_trainer
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model-index:
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- name: whisper-medium-finetuned-finetuned-finetuned
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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-medium-finetuned-finetuned-finetuned
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This model is a fine-tuned version of [KevinKibe/whisper-medium-finetuned](https://huggingface.co/KevinKibe/whisper-medium-finetuned) on the common_voice_16_1 dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 3.7072
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- eval_wer: 110.9650
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- eval_runtime: 1067.5914
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- eval_samples_per_second: 0.468
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- eval_steps_per_second: 0.03
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- epoch: 0.25
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- step: 25
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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: 0.0001
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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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- training_steps: 100
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- mixed_precision_training: Native AMP
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### Framework versions
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- PEFT 0.11.1
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- Transformers 4.39.2
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- Pytorch 2.2.2+cu121
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- Datasets 2.19.2
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- Tokenizers 0.15.2
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