speecht5_finetuned_North_fa

This model is a fine-tuned version of payamvha/speecht5_finetuned_North_fa on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.6506

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: 5e-05
• train_batch_size: 4
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 32
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 100
• training_steps: 400
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.7138	4.1778	50	0.6631
0.682	8.3556	100	0.6615
0.6625	12.5333	150	0.6569
0.6533	16.7111	200	0.6403
0.6415	20.8889	250	0.6409
0.6347	25.0	300	0.6577
0.6212	29.1778	350	0.6558
0.6251	33.3556	400	0.6506

Framework versions

• Transformers 4.56.2
• Pytorch 2.8.0+cu126
• Datasets 4.0.0
• Tokenizers 0.22.1