speecht5_finetuned_voxpopuli_es

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speecht5_finetuned_voxpopuli_es

This model is a fine-tuned version of KGSAGAR/speecht5_finetuned_voxpopuli_es on the voxpopuli dataset. It achieves the following results on the evaluation set:

• Loss: 0.5950

Model description

More information needed

Intended uses & limitations

(https://colab.research.google.com/drive/1NG4uTeW97wYRdzkjfWI4gONntxg9Y17S?usp=sharing)__ To enhance the model's performance, it is advisable to increase the training steps parameter and carry out further training.

Training and evaluation data

TrainOutput(global_step=25, training_loss=0.6927243232727051, metrics={'train_runtime': 8513.8366, 'train_samples_per_second': 0.094, 'train_steps_per_second': 0.003, 'total_flos': 116396101622592.0, 'train_loss': 0.6927243232727051, 'epoch': 0.11})

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 3e-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: 5
• training_steps: 25

Training results

Framework versions

• Transformers 4.32.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.4
• Tokenizers 0.13.3