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 V0
+  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 V0
+
+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: 1.2207
+
+## 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: 100
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss |
+|:-------------:|:-------:|:----:|:---------------:|
+| No log        | 6.6667  | 10   | 1.9046          |
+| No log        | 13.3333 | 20   | 1.5552          |
+| 1.9023        | 20.0    | 30   | 1.4780          |
+| 1.9023        | 26.6667 | 40   | 1.4256          |
+| 1.567         | 33.3333 | 50   | 1.4126          |
+| 1.567         | 40.0    | 60   | 1.3005          |
+| 1.567         | 46.6667 | 70   | 1.2734          |
+| 1.4002        | 53.3333 | 80   | 1.2259          |
+| 1.4002        | 60.0    | 90   | 1.1843          |
+| 1.2804        | 66.6667 | 100  | 1.2207          |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- Pytorch 2.6.0+cu124
+- Datasets 3.1.0
+- Tokenizers 0.20.3

generation_config.json

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+{
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+  "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"
+}

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training_args.bin

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