mapau/whisper-small-hr

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: 0.5739
• Wer: 25.4408

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: 2
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 8
• 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: 4000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0003	32.52	1000	0.5073	25.0630
0.0001	65.04	2000	0.5470	25.5668
0.0001	97.56	3000	0.5668	25.0630
0.0	130.08	4000	0.5739	25.4408

Framework versions

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