---
language:
- ro
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: Whisper Small Romanian CV11
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: mozilla-foundation/common_voice_11_0 ro
      type: mozilla-foundation/common_voice_11_0
      config: ro
      split: test
      args: ro
    metrics:
    - name: Wer
      type: wer
      value: 17.571297148114077
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Whisper Small Romanian CV11

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mozilla-foundation/common_voice_11_0 ro dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2808
- Wer: 17.5713

## 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: 64
- eval_batch_size: 32
- seed: 42
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.0046        | 8.01  | 1000 | 0.2808          | 17.5713 |
| 0.0006        | 17.01 | 2000 | 0.3091          | 17.6916 |
| 0.0003        | 25.02 | 3000 | 0.3267          | 17.6881 |
| 0.0002        | 34.01 | 4000 | 0.3381          | 17.7977 |
| 0.0002        | 43.0  | 5000 | 0.3428          | 17.8048 |


### Framework versions

- Transformers 4.26.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.7.1
- Tokenizers 0.13.2