melita1mu

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

• Loss: 0.5013
• Wer: 45.5961

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
0.0204	4.17	1000	0.4216	36.3580
0.0017	8.33	2000	0.4697	37.7222
0.0008	12.5	3000	0.4922	39.6015
0.0006	16.67	4000	0.5013	45.5961

Framework versions

• Transformers 4.37.2
• Pytorch 2.1.0+cu121
• Datasets 2.17.0
• Tokenizers 0.15.1