---
base_model: NbAiLab/nb-whisper-small-verbatim
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: nb-whisper-small-karelian-CodeSwitching
  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. -->

# nb-whisper-small-karelian-CodeSwitching

This model is a fine-tuned version of [NbAiLab/nb-whisper-small-verbatim](https://huggingface.co/NbAiLab/nb-whisper-small-verbatim) on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 55.25
- eval_wer: 1.0
- eval_cer: 11.0447
- eval_runtime: 86.5964
- eval_samples_per_second: 4.966
- eval_steps_per_second: 0.162
- epoch: 0.4535
- step: 100

## 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: 0.007
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 1000
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1