speecht5_GUIT_Final_Model_v1

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

• eval_loss: 0.4198
• eval_runtime: 5.5205
• eval_samples_per_second: 43.655
• eval_steps_per_second: 11.05
• epoch: 117.6471
• step: 1000

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: 32
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 256
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 200
• training_steps: 3000
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.43.1
• Pytorch 2.4.0+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1