End of training

README.md

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+---
+library_name: transformers
+language:
+- nl
+license: mit
+base_model: microsoft/speecht5_tts
+tags:
+- generated_from_trainer
+datasets:
+- maguette
+model-index:
+- name: SpeechT5 TTS MT V2
+  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 MT V2
+
+This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the maguette dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4931
+
+## 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: 16
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 32
+- 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: 10
+- training_steps: 200
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch    | Step | Validation Loss |
+|:-------------:|:--------:|:----:|:---------------:|
+| No log        | 6.6667   | 10   | 1.1093          |
+| No log        | 13.3333  | 20   | 0.9983          |
+| 1.1116        | 20.0     | 30   | 0.9168          |
+| 1.1116        | 26.6667  | 40   | 0.8119          |
+| 0.8005        | 33.3333  | 50   | 0.7925          |
+| 0.8005        | 40.0     | 60   | 0.7629          |
+| 0.8005        | 46.6667  | 70   | 0.7380          |
+| 0.738         | 53.3333  | 80   | 0.6968          |
+| 0.738         | 60.0     | 90   | 0.6487          |
+| 0.677         | 66.6667  | 100  | 0.6119          |
+| 0.677         | 73.3333  | 110  | 0.5832          |
+| 0.677         | 80.0     | 120  | 0.5555          |
+| 0.5968        | 86.6667  | 130  | 0.5425          |
+| 0.5968        | 93.3333  | 140  | 0.5329          |
+| 0.5626        | 100.0    | 150  | 0.5180          |
+| 0.5626        | 106.6667 | 160  | 0.5074          |
+| 0.5626        | 113.3333 | 170  | 0.5100          |
+| 0.5461        | 120.0    | 180  | 0.5035          |
+| 0.5461        | 126.6667 | 190  | 0.4918          |
+| 0.5208        | 133.3333 | 200  | 0.4931          |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- Pytorch 2.6.0+cu124
+- Datasets 3.1.0
+- Tokenizers 0.20.3

generation_config.json

@@ -0,0 +1,9 @@
+{
+  "_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": "4.46.3"
+}

model.safetensors

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