End of training

README.md

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+---
+library_name: transformers
+language:
+- yo
+license: mit
+base_model: microsoft/speecht5_tts
+tags:
+- Nigeria
+- generated_from_trainer
+datasets:
+- ccibeekeoc42/naija_tts_concatenated
+model-index:
+- name: SpeechT5 TTS Igb0 Yoruba
+  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 Igb0 Yoruba
+
+This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the naija_tts_concatenated dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4370
+
+## 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: 6
+- eval_batch_size: 6
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 12
+- 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: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 6000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.5354        | 0.1339 | 500  | 0.4752          |
+| 0.5157        | 0.2679 | 1000 | 0.4604          |
+| 0.5028        | 0.4018 | 1500 | 0.4537          |
+| 0.4872        | 0.5358 | 2000 | 0.4489          |
+| 0.4892        | 0.6697 | 2500 | 0.4453          |
+| 0.4813        | 0.8036 | 3000 | 0.4436          |
+| 0.483         | 0.9376 | 3500 | 0.4421          |
+| 0.4763        | 1.0715 | 4000 | 0.4401          |
+| 0.4786        | 1.2055 | 4500 | 0.4400          |
+| 0.481         | 1.3394 | 5000 | 0.4379          |
+| 0.4811        | 1.4733 | 5500 | 0.4393          |
+| 0.4846        | 1.6073 | 6000 | 0.4370          |
+
+
+### Framework versions
+
+- Transformers 4.48.0
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- 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": "4.48.0"
+}