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payamvha/
speecht5_finetuned_North_fa

Name: speecht5_finetuned_North_fa
Availability: InStock

generated_from_trainer

payamvha/speecht5_finetuned_North_fa

finetune

mit

endpoints_compatible

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speecht5_finetuned_North_fa

This model is a fine-tuned version of payamvha/speecht5_finetuned_North_fa on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.6506

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: 5e-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_FUSED 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: 100
training_steps: 400
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.7138	4.1778	50	0.6631
0.682	8.3556	100	0.6615
0.6625	12.5333	150	0.6569
0.6533	16.7111	200	0.6403
0.6415	20.8889	250	0.6409
0.6347	25.0	300	0.6577
0.6212	29.1778	350	0.6558
0.6251	33.3556	400	0.6506

Framework versions

Transformers 4.56.2
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1