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update model card README.md
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README.md
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---
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language:
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- fr
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license: mit
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tags:
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- generated_from_trainer
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datasets:
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- facebook/voxpopuli
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model-index:
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- name: SpeechT5-french
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# SpeechT5-french
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This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the VOXPOPULI dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4378
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 32
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 100
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- num_epochs: 20
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 0.4873 | 1.0 | 1584 | 0.4617 |
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| 0.4689 | 2.0 | 3168 | 0.4529 |
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| 0.4658 | 3.0 | 4752 | 0.4516 |
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| 0.4584 | 4.0 | 6336 | 0.4464 |
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| 0.4608 | 5.0 | 7920 | 0.4451 |
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| 0.4558 | 6.0 | 9504 | 0.4427 |
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| 0.4504 | 7.0 | 11088 | 0.4426 |
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| 0.4528 | 8.0 | 12672 | 0.4409 |
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| 0.4515 | 9.0 | 14256 | 0.4397 |
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| 0.4489 | 10.0 | 15840 | 0.4409 |
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| 0.4452 | 11.0 | 17424 | 0.4393 |
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| 0.4403 | 12.0 | 19008 | 0.4394 |
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| 0.4419 | 13.0 | 20592 | 0.4392 |
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| 0.441 | 14.0 | 22176 | 0.4378 |
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| 0.4418 | 15.0 | 23760 | 0.4376 |
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| 0.4373 | 16.0 | 25344 | 0.4382 |
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| 0.4405 | 17.0 | 26928 | 0.4367 |
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| 0.4377 | 18.0 | 28512 | 0.4374 |
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| 0.4351 | 19.0 | 30096 | 0.4376 |
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| 0.4371 | 20.0 | 31680 | 0.4378 |
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### Framework versions
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- Transformers 4.30.0.dev0
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- Pytorch 2.0.1+cu117
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- Datasets 2.13.1
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- Tokenizers 0.13.3
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