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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
Typetext-to-audioVersionÉditeur@ahmedjaved812CClasse

Source du modèle

Type
text-to-audio
Taille du fichier
551 MB
Version
vmodel
Mis à jour
17 oct. 2026
Éditeur
@ahmedjaved812
Tâches
Audio
Source
Hugging Face

Description de la source

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 FacePrincipalVersion 43c0a24192526e8c5ac8773901599c4c537f4589
huggingface.co/ahmedjaved812/urdu-tts-phonemes-finetuned/tree/43c0a24192526e8c5ac8773901599c4c537f4589

Vérifié 26 sept.

Artefacts du modèle

1 artefact

last-checkpoint/model.safetensors

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

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Extraits de sources

3 extraits
Readme11 juil.huggingface.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 sept.huggingface.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 juil.huggingface.co/ahmedjaved812/urdu-tts-phonemes-finetuned

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