whisper-small-turkish-1

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

• Loss: 0.2587

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: 64
• eval_batch_size: 64
• seed: 42
• optimizer: Use 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_ratio: 0.1
• num_epochs: 6
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.2364	1.0684	1000	0.2548
0.1517	2.1368	2000	0.2436
0.1001	3.2051	3000	0.2467
0.0677	4.2735	4000	0.2511
0.0476	5.3419	5000	0.2587

Framework versions

• Transformers 4.48.1
• Pytorch 2.5.1+cu124
• Datasets 2.18.0
• Tokenizers 0.21.0