---
language:
- ka
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper Small Ka - tsobolev
  results: []
pipeline_tag: automatic-speech-recognition
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Whisper Small Ka - tsobolev

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the CV14 dataset.
It achieves the following results on the test set:
- Loss: 0.0542
- Wer Ortho: 0.2785
- Wer: 0.2470

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

Training - Mozilla Common Voice 14 train split
Validation - Mozilla Common Voice 14 test split

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 5000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
| 0.0123        | 2.76  | 5000 | 0.0542          | 0.2785    | 0.2470 |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.0.0
- Datasets 2.14.4
- Tokenizers 0.13.3