---
language:
- ro
license: apache-2.0
base_model: openai/whisper-base
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- iulik-pisik/audio_vreme
metrics:
- wer
model-index:
- name: Whisper Base Romanian - Vreme Florin Busuioc
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: Vreme ProTv - Florin Busuioc
      type: iulik-pisik/audio_vreme
      config: default
      split: None
      args: 'config: ro, split: test'
    metrics:
    - name: Wer
      type: wer
      value: 13.206564209429539
---

<!-- 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 Base Romanian - Vreme Florin Busuioc

This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Vreme ProTv - Florin Busuioc dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2614
- Wer: 13.2066

## 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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.0152        | 7.63  | 1000 | 0.1949          | 13.7015 |
| 0.0008        | 15.27 | 2000 | 0.2461          | 13.1545 |
| 0.0005        | 22.9  | 3000 | 0.2565          | 13.1024 |
| 0.0003        | 30.53 | 4000 | 0.2614          | 13.2066 |


### Framework versions

- Transformers 4.39.1
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2