speecht5_finetuned_openslr-slr69-cat

This model is a fine-tuned version of microsoft/speecht5_tts on a projecte-aina/openslr-slr69-ca-trimmed-denoised dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.4427
• eval_runtime: 14.1078
• eval_samples_per_second: 30.054
• eval_steps_per_second: 15.027
• epoch: 16.77
• step: 2000

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: 1e-05
• train_batch_size: 4
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• training_steps: 2000
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu121
• Datasets 2.16.0
• Tokenizers 0.15.0