Training complete

README.md

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+---
+library_name: transformers
+license: mit
+base_model: microsoft/speecht5_tts
+tags:
+- Text-To-Speech
+- generated_from_trainer
+model-index:
+- name: speecht5_ft_french
+  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_ft_french
+
+This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6022
+
+## 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: 100
+- training_steps: 2000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss |
+|:-------------:|:-------:|:----:|:---------------:|
+| 0.7809        | 0.5587  | 100  | 0.7240          |
+| 0.7682        | 1.1173  | 200  | 0.6956          |
+| 0.7216        | 1.6760  | 300  | 0.6608          |
+| 0.7083        | 2.2346  | 400  | 0.6578          |
+| 0.6839        | 2.7933  | 500  | 0.6375          |
+| 0.6805        | 3.3520  | 600  | 0.6369          |
+| 0.6587        | 3.9106  | 700  | 0.6269          |
+| 0.6786        | 4.4693  | 800  | 0.6252          |
+| 0.6561        | 5.0279  | 900  | 0.6192          |
+| 0.6553        | 5.5866  | 1000 | 0.6159          |
+| 0.6477        | 6.1453  | 1100 | 0.6108          |
+| 0.6537        | 6.7039  | 1200 | 0.6121          |
+| 0.6635        | 7.2626  | 1300 | 0.6106          |
+| 0.6409        | 7.8212  | 1400 | 0.6059          |
+| 0.6503        | 8.3799  | 1500 | 0.6066          |
+| 0.6391        | 8.9385  | 1600 | 0.6033          |
+| 0.6388        | 9.4972  | 1700 | 0.6039          |
+| 0.6407        | 10.0559 | 1800 | 0.6010          |
+| 0.6388        | 10.6145 | 1900 | 0.6016          |
+| 0.6415        | 11.1732 | 2000 | 0.6022          |
+
+
+### Framework versions
+
+- Transformers 4.48.3
+- Pytorch 2.5.1+cu124
+- Datasets 3.3.2
+- 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": "4.48.3"
+}

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runs/Mar03_04-22-26_04fa9bc98ea5/events.out.tfevents.1740975753.04fa9bc98ea5.184.2

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