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_Mixed
+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_Mixed dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4403
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 10000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch    | Step  | Validation Loss |
+|:-------------:|:--------:|:-----:|:---------------:|
+| 0.6355        | 6.6667   | 500   | 0.5657          |
+| 0.5548        | 13.3333  | 1000  | 0.5314          |
+| 0.539         | 20.0     | 1500  | 0.5286          |
+| 0.5475        | 26.6667  | 2000  | 0.5220          |
+| 0.5031        | 33.3333  | 2500  | 0.5193          |
+| 0.5077        | 40.0     | 3000  | 0.5174          |
+| 0.4724        | 46.6667  | 3500  | 0.4577          |
+| 0.54          | 53.3333  | 4000  | 0.4610          |
+| 0.5289        | 60.0     | 4500  | 0.4431          |
+| 0.53          | 66.6667  | 5000  | 0.4414          |
+| 0.5029        | 73.3333  | 5500  | 0.4404          |
+| 0.4944        | 80.0     | 6000  | 0.4406          |
+| 0.508         | 86.6667  | 6500  | 0.4385          |
+| 0.5019        | 93.3333  | 7000  | 0.4410          |
+| 0.4639        | 100.0    | 7500  | 0.4394          |
+| 0.4918        | 106.6667 | 8000  | 0.4408          |
+| 0.4914        | 113.3333 | 8500  | 0.4401          |
+| 0.4747        | 120.0    | 9000  | 0.4413          |
+| 0.4886        | 126.6667 | 9500  | 0.4409          |
+| 0.4504        | 133.3333 | 10000 | 0.4403          |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

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": "4.41.2"
+}

model.safetensors

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 size 577841544