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---
language:
- ro
license: apache-2.0
base_model: openai/whisper-small
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- iulik-pisik/audio_vreme
metrics:
- wer
model-index:
- name: Whisper Small 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: 9.064860640791874
---
<!-- 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 Small Romanian - Vreme Florin Busuioc
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Vreme ProTv - Florin Busuioc dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2208
- Wer: 9.0649
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.0103 | 7.63 | 1000 | 0.1628 | 9.5598 |
| 0.0003 | 15.27 | 2000 | 0.2040 | 9.3514 |
| 0.0001 | 22.9 | 3000 | 0.2165 | 9.0649 |
| 0.0001 | 30.53 | 4000 | 0.2208 | 9.0649 |
### Framework versions
- Transformers 4.39.1
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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