metadata

language:
  - ro
license: apache-2.0
base_model: openai/whisper-tiny
tags:
  - hf-asr-leaderboard
  - generated_from_trainer
datasets:
  - iulik-pisik/audio_vreme
metrics:
  - wer
model-index:
  - name: Whisper Tiny 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: 15.550924719979161

Whisper Tiny Romanian - Vreme Florin Busuioc

This model is a fine-tuned version of openai/whisper-tiny on the Vreme ProTv - Florin Busuioc dataset. It achieves the following results on the evaluation set:

Loss: 0.3196
Wer: 15.5509

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
0.0349	7.63	1000	0.2170	16.5147
0.0018	15.27	2000	0.2874	15.6030
0.0009	22.9	3000	0.3114	15.5249
0.0006	30.53	4000	0.3196	15.5509

Framework versions

Transformers 4.39.1
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2