speecht5_finetuned_sai_charan_v4

This model is a fine-tuned version of SaiCharan0017/speecht5_finetuned_sai_charan_v3 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.3763

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: 2e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 64
• 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_steps: 500
• training_steps: 3000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.9616	5.3191	500	0.4451
1.7679	10.6383	1000	0.4031
1.6707	15.9574	1500	0.3868
1.6259	21.2766	2000	0.3844
1.6019	26.5957	2500	0.3767
1.594	31.9149	3000	0.3763

Framework versions

• Transformers 4.47.1
• Pytorch 2.5.1+cu121
• Datasets 3.2.0
• Tokenizers 0.21.0