speecht5_finetuned_test2_p376_id_kavinda

This model is a fine-tuned version of kavinda123321/speecht5_finetuned_test2_p376_id_kavinda on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.4235

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 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: 1000
• training_steps: 1000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
2.5016	11.1212	100	0.3971
2.4054	22.2424	200	0.4082
2.3913	33.3636	300	0.4000
2.3683	44.4848	400	0.4070
2.4469	55.6061	500	0.4061
2.3922	66.7273	600	0.4255
2.4693	77.8485	700	0.4190
2.3958	88.9697	800	0.4265
2.3466	100.0	900	0.4181
2.3397	111.1212	1000	0.4235

Framework versions

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