---
library_name: transformers
license: apache-2.0
base_model: ShimogaAIteam/whisper-small-kn-conversation
tags:
- generated_from_trainer
model-index:
- name: whisper-small-kn
  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-small-kn

This model is a fine-tuned version of [ShimogaAIteam/whisper-small-kn-conversation](https://huggingface.co/ShimogaAIteam/whisper-small-kn-conversation) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.3241
- eval_wer: 65.9127
- eval_runtime: 977.4817
- eval_samples_per_second: 1.023
- eval_steps_per_second: 0.064
- epoch: 3.2
- step: 4000

## 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: 1e-05
- train_batch_size: 4
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 8000
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.52.0
- Pytorch 2.8.0+cu128
- Datasets 4.1.1
- Tokenizers 0.21.2