speecht5_finetuned_emirhan_tr

This model is a fine-tuned version of emirhanbilgic/speecht5_finetuned_emirhan_tr on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.2938

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: 0.0001
• train_batch_size: 4
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 100
• training_steps: 500
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.3491	0.4545	100	0.3301
0.345	0.9091	200	0.3119
0.3304	1.3636	300	0.3075
0.3215	1.8182	400	0.3012
0.3139	2.2727	500	0.2938

Framework versions

• Transformers 4.44.2
• Pytorch 2.5.0+cu121
• Datasets 3.1.0
• Tokenizers 0.19.1