Edit model card

speecht5_finetuned_voxpopuli_it

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

  • Loss: 0.4858

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: 4000

Training results

Training Loss Epoch Step Validation Loss
0.5513 6.13 1000 0.5091
0.5227 12.26 2000 0.4916
0.5146 18.39 3000 0.4873
0.518 24.52 4000 0.4858

Framework versions

  • Transformers 4.32.1
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.4
  • Tokenizers 0.13.3
Downloads last month
23
Safetensors
Model size
144M params
Tensor type
F32
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for arpan-das-astrophysics/speecht5_finetuned_voxpopuli_it

Finetuned
(779)
this model

Dataset used to train arpan-das-astrophysics/speecht5_finetuned_voxpopuli_it

Space using arpan-das-astrophysics/speecht5_finetuned_voxpopuli_it 1