metadata

language:
  - sr
license: apache-2.0
tags:
  - whisper-event
  - generated_from_trainer
datasets:
  - mozilla-foundation/common_voice_11_0
metrics:
  - wer
model-index:
  - name: Whisper Small Serbian
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: mozilla-foundation/common_voice_11_0 sr
          type: mozilla-foundation/common_voice_11_0
          config: sr
          split: test
          args: sr
        metrics:
          - name: Wer
            type: wer
            value: 22.905706191825175

Whisper Small Serbian

This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common_voice_11_0 sr dataset. It achieves the following results on the evaluation set:

Loss: 0.5670
Wer: 22.9057

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

The model was trained on the training + validation splits of the Serbian split of the Common Voice dataset and evaluated on the test split of the Serbian split from the Common Voice dataset.

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 1e-05
train_batch_size: 64
eval_batch_size: 32
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: 800
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.4257	5.0	100	0.4377	32.4160
0.0779	10.0	200	0.3928	23.7556
0.0108	15.0	300	0.4856	23.4318
0.0104	20.0	400	0.5637	25.4958
0.0069	25.0	500	0.5289	23.1485
0.0022	30.0	600	0.5670	22.9057
0.0012	35.0	700	0.5746	23.0271
0.0006	40.0	800	0.5810	23.1890

Framework versions

Transformers 4.26.0.dev0
Pytorch 1.13.1+cu117
Datasets 2.8.1.dev0
Tokenizers 0.13.2