---
language:
- dv
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_13_0
metrics:
- wer
model-index:
- name: Helloxdashdbajd
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: Common Voice 13
      type: mozilla-foundation/common_voice_13_0
      config: dv
      split: test[:25]
      args: dv
    metrics:
    - name: Wer
      type: wer
      value: 174.45887445887448
---

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

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 13 dataset.
It achieves the following results on the evaluation set:
- Loss: 4.4343
- Wer Ortho: 278.5714
- Wer: 174.4589

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 1
- training_steps: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer      |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:--------:|
| 4.6857        | 0.57  | 4    | 4.4343          | 278.5714  | 174.4589 |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.2.1
- Datasets 2.17.1
- Tokenizers 0.15.2