speecht5_finetuned_eng_ashish

This model is a fine-tuned version of microsoft/speecht5_tts on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.7111

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: 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: 1
• training_steps: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.0602	1	0.7250
5.9911	0.1203	2	1.1100
5.9911	0.1805	3	0.8121
6.7456	0.2406	4	0.7525
6.7456	0.3008	5	0.7550
6.1898	0.3609	6	0.7549
6.1898	0.4211	7	0.7394
5.7588	0.4812	8	0.7304
5.7588	0.5414	9	0.7182
5.2002	0.6015	10	0.7111

Framework versions

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