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urdu_text_to_speech_tts

Text-to-Speech
Transformers
TensorBoard
Safetensors
Urdu
speecht5
text-to-audio
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
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- ---
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- license: mit
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- base_model: microsoft/speecht5_tts
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- tags:
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- - generated_from_trainer
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- model-index:
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- - name: urdu_text_to_speech_tts
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- results: []
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- ---
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-
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- <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- should probably proofread and complete it, then remove this comment. -->
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-
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- # urdu_text_to_speech_tts
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-
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- This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on an unknown dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 0.4936
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-
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- ## Model description
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-
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- More information needed
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-
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- ## Intended uses & limitations
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-
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- More information needed
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-
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- ## Training and evaluation data
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-
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- More information needed
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-
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- ## Training procedure
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-
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- ### Training hyperparameters
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-
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- The following hyperparameters were used during training:
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- - learning_rate: 1e-05
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- - train_batch_size: 8
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- - eval_batch_size: 2
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- - seed: 42
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- - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- - lr_scheduler_type: linear
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- - lr_scheduler_warmup_steps: 500
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- - num_epochs: 20
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- - mixed_precision_training: Native AMP
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-
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- ### Training results
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-
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-----:|:----:|:---------------:|
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- | 0.6365 | 1.0 | 486 | 0.5707 |
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- | 0.6045 | 2.0 | 972 | 0.5319 |
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- | 0.591 | 3.0 | 1458 | 0.5265 |
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- | 0.5711 | 4.0 | 1944 | 0.5178 |
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- | 0.5528 | 5.0 | 2430 | 0.5142 |
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- | 0.5335 | 6.0 | 2916 | 0.5073 |
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- | 0.5316 | 7.0 | 3402 | 0.5015 |
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- | 0.5308 | 8.0 | 3888 | 0.4992 |
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- | 0.5381 | 9.0 | 4374 | 0.5022 |
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- | 0.5292 | 10.0 | 4860 | 0.4977 |
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- | 0.5242 | 11.0 | 5346 | 0.4975 |
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- | 0.5129 | 12.0 | 5832 | 0.4970 |
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- | 0.5122 | 13.0 | 6318 | 0.4937 |
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- | 0.5329 | 14.0 | 6804 | 0.4943 |
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- | 0.5189 | 15.0 | 7290 | 0.4921 |
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- | 0.5164 | 16.0 | 7776 | 0.4946 |
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- | 0.5097 | 17.0 | 8262 | 0.4931 |
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- | 0.5858 | 18.0 | 8748 | 0.4948 |
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- | 0.5128 | 19.0 | 9234 | 0.4936 |
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- | 0.5203 | 20.0 | 9720 | 0.4936 |
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-
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-
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- ### Framework versions
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-
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- - Transformers 4.42.3
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- - Pytorch 2.3.1+cu121
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- - Datasets 2.20.0
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- - Tokenizers 0.19.1
 
 
 
 
 
 
 
 
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+ ---
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+ license: mit
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+ base_model: microsoft/speecht5_tts
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+ tags:
5
+ - generated_from_trainer
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+ model-index:
7
+ - name: urdu_text_to_speech_tts
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+ results: []
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+ datasets:
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+ - mozilla-foundation/common_voice_17_0
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+ language:
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+ - ur
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+ metrics:
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+ - accuracy
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+ pipeline_tag: text-to-speech
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # urdu_text_to_speech_tts
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+
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+ This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on an unknown dataset.
24
+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4936
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+
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+ ## Model description
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+
29
+ More information needed
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+
31
+ ## Intended uses & limitations
32
+
33
+ More information needed
34
+
35
+ ## Training and evaluation data
36
+
37
+ More information needed
38
+
39
+ ## Training procedure
40
+
41
+ ### Training hyperparameters
42
+
43
+ The following hyperparameters were used during training:
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+ - learning_rate: 1e-05
45
+ - train_batch_size: 8
46
+ - eval_batch_size: 2
47
+ - seed: 42
48
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
49
+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 500
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+ - num_epochs: 20
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.6365 | 1.0 | 486 | 0.5707 |
59
+ | 0.6045 | 2.0 | 972 | 0.5319 |
60
+ | 0.591 | 3.0 | 1458 | 0.5265 |
61
+ | 0.5711 | 4.0 | 1944 | 0.5178 |
62
+ | 0.5528 | 5.0 | 2430 | 0.5142 |
63
+ | 0.5335 | 6.0 | 2916 | 0.5073 |
64
+ | 0.5316 | 7.0 | 3402 | 0.5015 |
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+ | 0.5308 | 8.0 | 3888 | 0.4992 |
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+ | 0.5381 | 9.0 | 4374 | 0.5022 |
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+ | 0.5292 | 10.0 | 4860 | 0.4977 |
68
+ | 0.5242 | 11.0 | 5346 | 0.4975 |
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+ | 0.5129 | 12.0 | 5832 | 0.4970 |
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+ | 0.5122 | 13.0 | 6318 | 0.4937 |
71
+ | 0.5329 | 14.0 | 6804 | 0.4943 |
72
+ | 0.5189 | 15.0 | 7290 | 0.4921 |
73
+ | 0.5164 | 16.0 | 7776 | 0.4946 |
74
+ | 0.5097 | 17.0 | 8262 | 0.4931 |
75
+ | 0.5858 | 18.0 | 8748 | 0.4948 |
76
+ | 0.5128 | 19.0 | 9234 | 0.4936 |
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+ | 0.5203 | 20.0 | 9720 | 0.4936 |
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+
79
+
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+ ### Framework versions
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+
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+ - Transformers 4.42.3
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+ - Pytorch 2.3.1+cu121
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+ - Datasets 2.20.0
85
+ - Tokenizers 0.19.1