End of training

README.md

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+---
+language:
+- ara
+license: mit
+base_model: MBZUAI/speecht5_tts_clartts_ar
+tags:
+- generated_from_trainer
+datasets:
+- Arbi-Houssem/Tunisian_dataset_STT-TTS15s_filtred1.0
+model-index:
+- name: SpeechT5 TTS Tunisien
+  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. -->
+
+# SpeechT5 TTS Tunisien
+
+This model is a fine-tuned version of [MBZUAI/speecht5_tts_clartts_ar](https://huggingface.co/MBZUAI/speecht5_tts_clartts_ar) on the Tunisian_dataset_STT-TTS15s_filtred1.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4883
+
+## 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: 4
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 4000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.5165        | 34.48  | 1000 | 0.4983          |
+| 0.505         | 68.97  | 2000 | 0.4893          |
+| 0.4996        | 103.45 | 3000 | 0.4876          |
+| 0.4968        | 137.93 | 4000 | 0.4883          |
+
+
+### Framework versions
+
+- Transformers 4.35.1
+- Pytorch 2.3.1+cu121
+- Datasets 2.14.7
+- Tokenizers 0.14.1

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": "4.35.1"
+}

model.safetensors

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