---
language:
- ro
license: apache-2.0
base_model: openai/whisper-small
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: Whisper Romanian
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: Romanian voice 1.0
      type: mozilla-foundation/common_voice_11_0
      config: ro
      split: test
      args: 'config: se, split: test'
    metrics:
    - name: Wer
      type: wer
      value: 23.876263531435946
---

<!-- 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 Romanian

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Romanian voice 1.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2557
- Wer: 23.8763

## 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: 5e-06
- 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: 50
- training_steps: 1500

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.0156        | 0.45  | 250  | 0.2336          | 24.4175 |
| 0.011         | 0.9   | 500  | 0.2361          | 25.0627 |
| 0.0061        | 1.35  | 750  | 0.2479          | 27.5539 |
| 0.0084        | 1.8   | 1000 | 0.2491          | 27.3174 |
| 0.0054        | 2.25  | 1250 | 0.2532          | 21.1234 |
| 0.0041        | 2.7   | 1500 | 0.2557          | 23.8763 |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0