End of training

README.md

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+---
+library_name: transformers
+license: mit
+base_model: microsoft/speecht5_tts
+tags:
+- generated_from_trainer
+datasets:
+- m-aliabbas/common_voice_urdu1
+model-index:
+- name: TTS urdu
+  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. -->
+
+# TTS urdu
+
+This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the common_voice_urdu1 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4753
+
+## 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: 16
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 32
+- optimizer: Use 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: 300
+- training_steps: 10500
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step  | Validation Loss |
+|:-------------:|:-------:|:-----:|:---------------:|
+| 0.5698        | 4.3103  | 500   | 0.5020          |
+| 0.528         | 8.6207  | 1000  | 0.4814          |
+| 0.5092        | 12.9310 | 1500  | 0.4693          |
+| 0.502         | 17.2414 | 2000  | 0.4720          |
+| 0.4944        | 21.5517 | 2500  | 0.4665          |
+| 0.4922        | 25.8621 | 3000  | 0.4635          |
+| 0.4793        | 30.1724 | 3500  | 0.4653          |
+| 0.4851        | 34.4828 | 4000  | 0.4684          |
+| 0.4726        | 38.7931 | 4500  | 0.4651          |
+| 0.4614        | 43.1034 | 5000  | 0.4660          |
+| 0.4734        | 47.4138 | 5500  | 0.4652          |
+| 0.4621        | 51.7241 | 6000  | 0.4688          |
+| 0.4689        | 56.0345 | 6500  | 0.4730          |
+| 0.4589        | 60.3448 | 7000  | 0.4663          |
+| 0.4658        | 64.6552 | 7500  | 0.4725          |
+| 0.4552        | 68.9655 | 8000  | 0.4742          |
+| 0.4549        | 73.2759 | 8500  | 0.4763          |
+| 0.4599        | 77.5862 | 9000  | 0.4726          |
+| 0.4559        | 81.8966 | 9500  | 0.4738          |
+| 0.4605        | 86.2069 | 10000 | 0.4764          |
+| 0.4482        | 90.5172 | 10500 | 0.4753          |
+
+
+### Framework versions
+
+- Transformers 4.46.0.dev0
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.20.0

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "eos_token_id": 2,
+  "max_length": 1876,
+  "pad_token_id": 1,
+  "transformers_version": "4.46.0.dev0"
+}

model.safetensors

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 size 577789320

runs/Oct03_06-33-42_1d9bc42573fc/events.out.tfevents.1727937231.1d9bc42573fc.1853.1

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