speecht5_finetuned_mr

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.4924

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: 8
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 32
• optimizer: Use 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

Training results

Training Loss	Epoch	Step	Validation Loss
0.4823	11.9048	500	0.4724
0.4388	23.8095	1000	0.4662
0.4204	35.7143	1500	0.4590
0.3981	47.6190	2000	0.4720
0.3897	59.5238	2500	0.4791
0.3819	71.4286	3000	0.4767
0.3719	83.3333	3500	0.4906
0.3658	95.2381	4000	0.4924

Framework versions

• Transformers 4.46.2
• Pytorch 2.5.1+cu121
• Datasets 3.1.0
• Tokenizers 0.20.3