End of training

README.md

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+---
+library_name: transformers
+license: mit
+base_model: MBZUAI/speecht5_tts_clartts_ar
+tags:
+- generated_from_trainer
+model-index:
+- name: Sindhi-TTS
+  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. -->
+
+# Sindhi-TTS
+
+This model is a fine-tuned version of [MBZUAI/speecht5_tts_clartts_ar](https://huggingface.co/MBZUAI/speecht5_tts_clartts_ar) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5882
+
+## 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: 16
+- eval_batch_size: 2
+- 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: 100
+- training_steps: 1000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.6706        | 0.1996 | 100  | 0.6716          |
+| 0.6365        | 0.3992 | 200  | 0.6357          |
+| 0.6266        | 0.5988 | 300  | 0.6185          |
+| 0.6172        | 0.7984 | 400  | 0.6162          |
+| 0.6011        | 0.9980 | 500  | 0.6083          |
+| 0.6047        | 1.1976 | 600  | 0.6041          |
+| 0.5943        | 1.3972 | 700  | 0.6023          |
+| 0.597         | 1.5968 | 800  | 0.5936          |
+| 0.5927        | 1.7964 | 900  | 0.5884          |
+| 0.5932        | 1.9960 | 1000 | 0.5882          |
+
+
+### Framework versions
+
+- Transformers 4.46.2
+- Pytorch 2.5.0+cu121
+- Datasets 3.1.0
+- Tokenizers 0.20.3

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": "4.46.2"
+}