End of training

README.md

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+---
+library_name: transformers
+license: mit
+base_model: microsoft/speecht5_tts
+tags:
+- generated_from_trainer
+datasets:
+- common_voice_17_0
+model-index:
+- name: SpeechT5-Hausa-9
+  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-Hausa-9
+
+This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the common_voice_17_0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4650
+
+## 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: 0.0001
+- 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: 100
+- training_steps: 2000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss |
+|:-------------:|:-------:|:----:|:---------------:|
+| 0.6131        | 1.8476  | 100  | 0.5543          |
+| 0.5611        | 3.6952  | 200  | 0.5054          |
+| 0.5362        | 5.5427  | 300  | 0.4950          |
+| 0.5222        | 7.3903  | 400  | 0.4837          |
+| 0.5067        | 9.2379  | 500  | 0.4770          |
+| 0.5028        | 11.0855 | 600  | 0.4733          |
+| 0.4926        | 12.9330 | 700  | 0.4685          |
+| 0.4833        | 14.7806 | 800  | 0.4640          |
+| 0.4776        | 16.6282 | 900  | 0.4606          |
+| 0.4769        | 18.4758 | 1000 | 0.4582          |
+| 0.4715        | 20.3233 | 1100 | 0.4651          |
+| 0.462         | 22.1709 | 1200 | 0.4612          |
+| 0.4579        | 24.0185 | 1300 | 0.4616          |
+| 0.455         | 25.8661 | 1400 | 0.4585          |
+| 0.4551        | 27.7136 | 1500 | 0.4646          |
+| 0.4516        | 29.5612 | 1600 | 0.4644          |
+| 0.4471        | 31.4088 | 1700 | 0.4636          |
+| 0.4427        | 33.2564 | 1800 | 0.4645          |
+| 0.4494        | 35.1039 | 1900 | 0.4653          |
+| 0.4357        | 36.9515 | 2000 | 0.4650          |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- 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": "4.44.2"
+}

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runs/Oct04_15-48-57_10ca8c7891a3/events.out.tfevents.1728057070.10ca8c7891a3.1522.0

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