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Urdu Tts Phonemes Finetuned

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set: Loss: 0.8902 Model description

Fuentehuggingface.co/ahmedjaved812/urdu-tts-phonemes-finetuned/tree/43c0a24192526e8c5ac8773901599c4c537f4589
Tipotext-to-audioVersiónPublicador@ahmedjaved812Ccalidad

Fuente del modelo

Tipo
text-to-audio
Tamaño del archivo
551 MB
Versión
vmodel
Actualizado
17 oct 2026
Publicador
@ahmedjaved812
Tareas
Audio
Fuente
Hugging Face

Descripción de la fuente

urdu-tts-phonemes-finetuned

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.8902

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: 1e-05
  • train_batch_size: 6
  • eval_batch_size: 2
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 2
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 48
  • total_eval_batch_size: 4
  • 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: 500
  • num_epochs: 70
  • mixed_precision_training: Native AMP

Training results

Training LossEpochStepValidation Loss
5.47481.51635001.0756
4.42863.030410001.0000
4.28994.546715000.9708
4.16166.060720000.9536
4.07167.577125000.9420
4.01219.091130000.9242
3.963710.607435000.9217
3.915212.121540000.9091
3.896713.637845000.9034
3.879415.151950000.9066
3.858016.668255000.9018
3.819518.182260000.8976
3.803419.698665000.8946
3.787021.212670000.8929
3.769122.728975000.8952
3.751724.243080000.8890
3.729925.759385000.8941
3.729327.273390000.8908
3.730928.789795000.8911
3.705130.3037100000.8860
3.696231.8200105000.8879
3.679433.3341110000.8842
3.674034.8504115000.8866
3.669336.3645120000.8834
3.679337.8808125000.8885
3.657239.3948130000.8844
3.663640.9112135000.8826
3.641042.4252140000.8840
3.661643.9415145000.8921
3.640845.4556150000.8882
3.651346.9719155000.8869
3.622348.4860160000.8887
3.625150.0165000.8921
3.628451.5163170000.8865
3.626453.0304175000.8910
3.611254.5467180000.8881
3.610956.0607185000.8929
3.617557.5771190000.8859
3.626659.0911195000.8897
3.603560.6074200000.8870
3.599062.1215205000.8916
3.600563.6378210000.8894
3.614365.1519215000.8857
3.604466.6682220000.8916
3.602168.1822225000.8911
3.611069.6986230000.8902

Framework versions

  • Transformers 5.0.0
  • Pytorch 2.10.0+cu128
  • Datasets 4.8.3
  • Tokenizers 0.22.2

Fuentes

1 fuente
Hugging FacePrincipalVersión 43c0a24192526e8c5ac8773901599c4c537f4589
huggingface.co/ahmedjaved812/urdu-tts-phonemes-finetuned/tree/43c0a24192526e8c5ac8773901599c4c537f4589

Verificado 26 sept

Artefactos del modelo

1 artefacto

last-checkpoint/model.safetensors

safetensors · 551 MB · SHA-256 39f2c324b6c5…33f3 · Hugging Face

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Extractos de fuentes

3 extractos
Readme11 julhuggingface.co/ahmedjaved812/urdu-tts-phonemes-finetuned

--- library_name: transformers tags: - generated_from_trainer model-index: - name: urdu-tts-phonemes-finetuned results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # urdu-tts-phonemes-finetuned This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.8902 ## 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: 1e-05 - train_batch_size: 6 - eval_batch_size: 2 - seed: 42 - distributed_type: multi-GPU - num_devices: 2 - gradient_accumulation_steps: 4 - total_train_batch_size: 48 - total_eval_batch_size: 4 - 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: 500 - num_epochs: 70 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-------:|:-----:|:---------------:| | 5.4748 | 1.5163 | 500 | 1.0756 | | 4.4286 | 3.0304 | 1000 | 1.0000 | | 4.2899 | 4.5467 | 1500 | 0.9708 | | 4.1616 | 6.0607 | 2000 | 0.9536 | | 4.0716 | 7.5771 | 2500 | 0.9420 | | 4.0121 | 9.0911 | 3000 | 0.9242 | | 3.9637 | 10.6074 | 3500 | 0.9217 | | 3.9152 | 12.1215 | 4000 | 0.9091 | | 3.8967 | 13.6378 | 4500 | 0.9034 | | 3.8794 | 15.1519 | 5000 | 0.9066 | | 3.8580 | 16.6682 | 5500 | 0.9018 | | 3.8195 | 18.1822 | 6000 | 0.8976 | | 3.8034 | 19.6986 | 6500 | 0.8946 | | 3.7870 | 21.2126 | 7000 | 0.8929 | | 3.7691 | 22.7289 | 7500 | 0.8952 | | 3.7517 | 24.2430 | 8000 | 0.8890 | | 3.7299 | 25.7593 | 8500 | 0.8941 | | 3.7293 | 27.2733 | 9000 | 0.8908 | | 3.7309 | 28.7897 | 9500 | 0.8911 | | 3.7051 | 30.3037 | 10000 | 0.8860 | | 3.6962 | 31.8200 | 10500 | 0.8879 | | 3.6794 | 33.3341 | 11000 | 0.8842 | | 3.6740 | 34.8504 | 11500 | 0.8866 | | 3.6693 | 36.3645 | 12000 | 0.8834 | | 3.6793 | 37.8808 | 12500 | 0.8885 | | 3.6572 | 39.3948 | 13000 | 0.8844 | | 3.6636 | 40.9112 | 13500 | 0.8826 | | 3.6410 | 42.4252 | 14000 | 0.8840 | | 3.6...

Note26 septhuggingface.co/ahmedjaved812/urdu-tts-phonemes-finetuned

Source context: 8 downloads · 0 likes · Pipeline text-to-audio · Library transformers · Repo ahmedjaved812/urdu-tts-phonemes-finetuned

Note16 julhuggingface.co/ahmedjaved812/urdu-tts-phonemes-finetuned

Source context: 0 downloads · 0 likes · Pipeline text-to-audio · Library transformers · Repo ahmedjaved812/urdu-tts-phonemes-finetuned