speecht5_finetuned_2_wo

This model is a fine-tuned version of Moustapha91/speecht5_finetuned_wo_v1 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.3961

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: 0.0001
• 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: 100
• training_steps: 500
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.4853	0.2962	100	0.4580
0.4712	0.5924	200	0.4279
0.4466	0.8886	300	0.4106
0.4366	1.1847	400	0.4013
0.4276	1.4809	500	0.3961

Framework versions

• Transformers 4.45.1
• Pytorch 2.4.0
• Datasets 3.0.1
• Tokenizers 0.20.0