StefanJevtic63/whisper-large-v2-sr-lora

Whisper - Serbian Model

This model is a fine-tuned version of openai/whisper-large-v2 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.1401

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: 0.001
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 16
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 50
• training_steps: 4000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.2015	0.0705	1000	0.2007
0.1646	0.1409	2000	0.1743
0.1475	0.2114	3000	0.1515
0.1381	0.2819	4000	0.1401

Framework versions

• PEFT 0.13.2
• Transformers 4.46.3
• Pytorch 2.5.1
• Datasets 3.0.0
• Tokenizers 0.20.3