metadata

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
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: Vreme ProTv
          type: iulik-pisik/audio_vreme
          config: default
          split: None
          args: 'config: ro, split: test'
        metrics:
          - name: Wer
            type: wer
            value: 7.994245787094123

Whisper Small Romanian - Vreme

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

Loss: 0.1873
Wer: 7.9942

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
0.0141	6.02	1000	0.1417	9.2067
0.0007	12.05	2000	0.1657	8.4464
0.0002	18.07	3000	0.1833	8.0353
0.0001	24.1	4000	0.1873	7.9942

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2