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kingmhd1519/
speecht5_Mehdi_Final_Model_v2

Name: speecht5_Mehdi_Final_Model_v2
Availability: InStock

generated_from_trainer

kingmhd1519/speecht5_Mehdi_Final_Model

finetune

mit

endpoints_compatible

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speecht5_Mehdi_Final_Model_v2

This model is a fine-tuned version of kingmhd1519/speecht5_Mehdi_Final_Model on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.3991

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 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: 200
training_steps: 1500
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.4336	3.2924	250	0.4085
0.4214	6.5847	500	0.4003
0.4176	9.8771	750	0.3979
0.4064	13.1595	1000	0.3968
0.3999	16.4518	1250	0.3985
0.4028	19.7442	1500	0.3991

Framework versions

Transformers 4.52.2
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.1

kingmhd1519/speecht5_Mehdi_Final_Model_v2

speecht5_Mehdi_Final_Model_v2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

kingmhd1519/
speecht5_Mehdi_Final_Model_v2