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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

Sourcehuggingface.co/ahmedjaved812/urdu-tts-phonemes-finetuned/tree/43c0a24192526e8c5ac8773901599c4c537f4589
Kindtext-to-audioVersionPublisher@ahmedjaved812Cgrade

Model source

Kind
text-to-audio
File size
551 MB
Version
vmodel
Updated
Oct 17, 2026
Publisher
@ahmedjaved812
Tasks
Audio
Source
Hugging Face

Source description

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

Sources

1 source
Hugging FacePrimaryVersion 43c0a24192526e8c5ac8773901599c4c537f4589
huggingface.co/ahmedjaved812/urdu-tts-phonemes-finetuned/tree/43c0a24192526e8c5ac8773901599c4c537f4589

Verified Sep 26

Model artifacts

1 artifact

last-checkpoint/model.safetensors

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

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Source excerpts

3 excerpts
ReadmeJul 11huggingface.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...

NoteSep 26huggingface.co/ahmedjaved812/urdu-tts-phonemes-finetuned

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

NoteJul 16huggingface.co/ahmedjaved812/urdu-tts-phonemes-finetuned

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