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speecht5_finetuned_sip_ai_v4_globo_female

This model is a fine-tuned version of guilhermebastos96/speecht5_finetuned_sip_ai_v3 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3367

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: 10000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
0.3933 7.14 1000 0.3580
0.3845 14.27 2000 0.3482
0.374 21.41 3000 0.3425
0.3774 28.55 4000 0.3405
0.365 35.68 5000 0.3393
0.3673 42.82 6000 0.3368
0.3659 49.96 7000 0.3387
0.3649 57.09 8000 0.3375
0.3618 64.23 9000 0.3374
0.3634 71.36 10000 0.3367

Framework versions

  • Transformers 4.39.0.dev0
  • Pytorch 2.2.1
  • Datasets 2.18.0
  • Tokenizers 0.15.2
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Model size
144M params
Tensor type
F32
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