metadata

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

Whisper Base Romanian - Vreme Florin Busuioc

This model is a fine-tuned version of 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