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--- |
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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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- voxpopuli |
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model-index: |
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- name: speecht5_finetuned_facebook_voxpopuli_spanish |
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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_finetuned_facebook_voxpopuli_spanish |
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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: 0.4434 |
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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: 1e-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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| 0.5076 | 1.0 | 1074 | 0.4770 | |
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| 0.4919 | 2.0 | 2148 | 0.4651 | |
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| 0.4833 | 3.0 | 3222 | 0.4589 | |
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| 0.4817 | 4.0 | 4296 | 0.4556 | |
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| 0.4707 | 5.0 | 5370 | 0.4529 | |
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| 0.4688 | 6.0 | 6444 | 0.4511 | |
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| 0.4736 | 7.0 | 7518 | 0.4496 | |
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| 0.4645 | 8.0 | 8592 | 0.4488 | |
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| 0.4719 | 9.0 | 9666 | 0.4475 | |
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| 0.4602 | 10.0 | 10740 | 0.4460 | |
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| 0.4609 | 11.0 | 11814 | 0.4455 | |
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| 0.4575 | 12.0 | 12888 | 0.4451 | |
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| 0.458 | 13.0 | 13962 | 0.4440 | |
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| 0.4601 | 14.0 | 15036 | 0.4438 | |
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| 0.4647 | 15.0 | 16110 | 0.4441 | |
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| 0.4591 | 16.0 | 17184 | 0.4436 | |
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| 0.4535 | 17.0 | 18258 | 0.4428 | |
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| 0.4615 | 18.0 | 19332 | 0.4430 | |
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| 0.4549 | 19.0 | 20406 | 0.4426 | |
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| 0.4569 | 20.0 | 21480 | 0.4434 | |
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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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