README.md

metadata

language:
  - hr
license: apache-2.0
base_model: openai/whisper-small
tags:
  - generated_from_trainer
datasets:
  - parlaSmall
metrics:
  - wer
model-index:
  - name: Whisper Small Croatian
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: parlaSmall_subset
          type: parlaSmall
          config: default
          split: None
          args: 'config: hr, split: test'
        metrics:
          - name: Wer
            type: wer
            value: 25.56675062972292

Whisper Small Croatian

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

• Loss: 0.5479
• Wer: 25.5668

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: 1
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 16
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• training_steps: 3000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0003	32.52	1000	0.5035	26.3224
0.0001	65.04	2000	0.5380	25.8186
0.0001	97.56	3000	0.5479	25.5668

Framework versions

• Transformers 4.39.3
• Pytorch 2.0.0
• Datasets 2.19.1
• Tokenizers 0.15.1