End of training

README.md

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+---
+library_name: transformers
+language:
+- pt
+license: mit
+base_model: microsoft/speechT5_tts
+tags:
+- generated_from_trainer
+datasets:
+- ylacombe/cml-tts
+model-index:
+- name: speechT5_tts-finetuned-cml-tts2
+  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-finetuned-cml-tts2
+
+This model is a fine-tuned version of [microsoft/speechT5_tts](https://huggingface.co/microsoft/speechT5_tts) on the cml-tts dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4595
+
+## 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: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.99) and epsilon=1e-07 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- training_steps: 16000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step  | Validation Loss |
+|:-------------:|:------:|:-----:|:---------------:|
+| 0.4819        | 0.0625 | 1000  | 0.5007          |
+| 0.4364        | 0.125  | 2000  | 0.4965          |
+| 0.4224        | 0.1875 | 3000  | 0.4841          |
+| 0.4006        | 1.0473 | 4000  | 0.4782          |
+| 0.3993        | 1.1098 | 5000  | 0.4728          |
+| 0.3993        | 1.1723 | 6000  | 0.4687          |
+| 0.389         | 2.032  | 7000  | 0.4684          |
+| 0.3827        | 2.0945 | 8000  | 0.4665          |
+| 0.3895        | 2.157  | 9000  | 0.4702          |
+| 0.3829        | 3.0168 | 10000 | 0.4648          |
+| 0.3717        | 3.0793 | 11000 | 0.4631          |
+| 0.384         | 3.1418 | 12000 | 0.4627          |
+| 0.3802        | 4.0015 | 13000 | 0.4601          |
+| 0.3667        | 4.064  | 14000 | 0.4610          |
+| 0.3757        | 4.1265 | 15000 | 0.4606          |
+| 0.375         | 4.189  | 16000 | 0.4595          |
+
+
+### Framework versions
+
+- Transformers 4.46.2
+- Pytorch 2.5.1+cu121
+- Datasets 3.1.0
+- Tokenizers 0.20.3

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": "4.46.2"
+}