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speecht5_finetuned_facebook_voxpopuli_spanish

Text-to-Speech
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update model card README.md

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@@ -1,23 +1,24 @@
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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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- pipeline_tag: text-to-speech
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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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@@ -36,7 +37,7 @@ More information needed
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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
@@ -51,26 +52,26 @@ The following hyperparameters were used during training:
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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
@@ -78,4 +79,4 @@ The following hyperparameters were used during training:
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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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  ---
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+ language:
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+ - es
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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-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-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: 0.4355
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  ## Model description
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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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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:-----:|:---------------:|
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+ | 0.484 | 1.0 | 1074 | 0.4623 |
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+ | 0.4724 | 2.0 | 2148 | 0.4542 |
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+ | 0.4646 | 3.0 | 3222 | 0.4474 |
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+ | 0.463 | 4.0 | 4296 | 0.4451 |
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+ | 0.4538 | 5.0 | 5370 | 0.4425 |
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+ | 0.4509 | 6.0 | 6444 | 0.4408 |
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+ | 0.4548 | 7.0 | 7518 | 0.4412 |
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+ | 0.4465 | 8.0 | 8592 | 0.4389 |
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+ | 0.4509 | 9.0 | 9666 | 0.4387 |
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+ | 0.4424 | 10.0 | 10740 | 0.4369 |
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+ | 0.4415 | 11.0 | 11814 | 0.4367 |
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+ | 0.4386 | 12.0 | 12888 | 0.4366 |
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+ | 0.4383 | 13.0 | 13962 | 0.4357 |
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+ | 0.4396 | 14.0 | 15036 | 0.4348 |
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+ | 0.4432 | 15.0 | 16110 | 0.4358 |
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+ | 0.4378 | 16.0 | 17184 | 0.4356 |
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+ | 0.4321 | 17.0 | 18258 | 0.4353 |
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+ | 0.4381 | 18.0 | 19332 | 0.4353 |
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+ | 0.4325 | 19.0 | 20406 | 0.4347 |
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+ | 0.4336 | 20.0 | 21480 | 0.4355 |
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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