metadata

library_name: transformers
tags:
  - generated_from_trainer
model-index:
  - name: speecht5_finetuned_tr_mediaspeech_2
    results: []
base_model:
  - microsoft/speecht5_tts

speecht5_finetuned_tr_mediaspeech_2

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 0.5293
eval_runtime: 319.9451
eval_samples_per_second: 31.702
eval_steps_per_second: 15.853
epoch: 1.7388
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: Use OptimizerNames.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: 500
training_steps: 4000
mixed_precision_training: Native AMP

Framework versions

Transformers 4.46.3
Pytorch 2.5.1+cu124
Datasets 3.1.0
Tokenizers 0.20.3