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sl-asr-model-primary-small

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

  • Loss: 0.3394
  • Wer: 0.3198

Model description

Slovenian-ASR-model-primary, 242M paramerters

Intended uses & limitations

Automatic speech recognition for Slovenian

Training and evaluation data

EWCH/data-preprocessed-commonvoice-sl-80s

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 1e-05
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.001
  • num_epochs: 1
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.3415 1.0 650 0.3394 0.3198

Framework versions

  • Transformers 4.39.0.dev0
  • Pytorch 2.2.1
  • Datasets 2.17.1
  • Tokenizers 0.15.2
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Safetensors
Model size
242M params
Tensor type
F32
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Finetuned from

Dataset used to train EWCH/sl-asr-model-primary-small

Evaluation results