---
base_model: KevinKibe/whisper-medium-finetuned
datasets:
- common_voice_16_1
library_name: peft
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: whisper-medium-finetuned-finetuned-finetuned
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# whisper-medium-finetuned-finetuned-finetuned

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.
It achieves the following results on the evaluation set:
- eval_loss: 3.7072
- eval_wer: 110.9650
- eval_runtime: 1067.5914
- eval_samples_per_second: 0.468
- eval_steps_per_second: 0.03
- epoch: 0.25
- step: 25

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 100
- mixed_precision_training: Native AMP

### Framework versions

- PEFT 0.11.1
- Transformers 4.39.2
- Pytorch 2.2.2+cu121
- Datasets 2.19.2
- Tokenizers 0.15.2