End of training

README.md

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+---
+library_name: transformers
+license: mit
+base_model: Shaju07/urdu_tts_0.1_B
+tags:
+- generated_from_trainer
+model-index:
+- name: urdu_tts_recovery_A
+  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_recovery_A
+
+This model is a fine-tuned version of [Shaju07/urdu_tts_0.1_B](https://huggingface.co/Shaju07/urdu_tts_0.1_B) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 0.4344
+- eval_runtime: 28.3679
+- eval_samples_per_second: 37.225
+- eval_steps_per_second: 18.613
+- epoch: 14.7059
+- step: 2750
+
+## 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: 5e-05
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 32
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: constant_with_warmup
+- lr_scheduler_warmup_steps: 2000
+- training_steps: 10000
+- mixed_precision_training: Native AMP
+
+### Framework versions
+
+- Transformers 4.48.3
+- Pytorch 2.5.1+cu124
+- Datasets 3.3.2
+- Tokenizers 0.21.0

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": "4.48.3"
+}

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runs/Mar05_23-52-53_105444f12764/events.out.tfevents.1741218776.105444f12764.4362.3

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