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README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: mit
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+ base_model: microsoft/speecht5_tts
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: speecht5_tts_wolof
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+ results: []
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+ ---
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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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+
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+ # speecht5_tts_wolof
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+
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+ This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4769
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 2
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+ - total_train_batch_size: 16
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+ - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 500
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+ - training_steps: 4000
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:------:|:----:|:---------------:|
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+ | 2.1638 | 0.0963 | 50 | 1.0066 |
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+ | 2.0092 | 0.1927 | 100 | 0.9555 |
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+ | 1.7858 | 0.2890 | 150 | 0.9100 |
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+ | 1.8592 | 0.3854 | 200 | 0.8772 |
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+ | 1.778 | 0.4817 | 250 | 0.8337 |
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+ | 1.6383 | 0.5780 | 300 | 0.7854 |
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+ | 1.4971 | 0.6744 | 350 | 0.6216 |
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+ | 1.2996 | 0.7707 | 400 | 0.5678 |
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+ | 1.2728 | 0.8671 | 450 | 0.5555 |
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+ | 1.2295 | 0.9634 | 500 | 0.5388 |
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+ | 1.1974 | 1.0597 | 550 | 0.5332 |
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+ | 1.1524 | 1.1561 | 600 | 0.5261 |
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+ | 1.2034 | 1.2524 | 650 | 0.5243 |
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+ | 1.1313 | 1.3487 | 700 | 0.5137 |
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+ | 1.1011 | 1.4451 | 750 | 0.5121 |
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+ | 1.1376 | 1.5414 | 800 | 0.5112 |
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+ | 1.142 | 1.6378 | 850 | 0.5097 |
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+ | 1.1685 | 1.7341 | 900 | 0.5035 |
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+ | 1.122 | 1.8304 | 950 | 0.5030 |
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+ | 1.117 | 1.9268 | 1000 | 0.5075 |
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+ | 1.1164 | 2.0231 | 1050 | 0.5011 |
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+ | 1.1186 | 2.1195 | 1100 | 0.4997 |
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+ | 1.102 | 2.2158 | 1150 | 0.4999 |
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+ | 1.0753 | 2.3121 | 1200 | 0.4995 |
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+ | 1.0459 | 2.4085 | 1250 | 0.4950 |
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+ | 1.1395 | 2.5048 | 1300 | 0.4967 |
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+ | 1.086 | 2.6012 | 1350 | 0.4914 |
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+ | 1.0647 | 2.6975 | 1400 | 0.4922 |
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+ | 1.0779 | 2.7938 | 1450 | 0.4925 |
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+ | 1.0814 | 2.8902 | 1500 | 0.4885 |
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+ | 1.092 | 2.9865 | 1550 | 0.4909 |
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+ | 1.0609 | 3.0829 | 1600 | 0.4883 |
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+ | 1.0517 | 3.1792 | 1650 | 0.4903 |
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+ | 1.0954 | 3.2755 | 1700 | 0.4886 |
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+ | 1.0431 | 3.3719 | 1750 | 0.4903 |
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+ | 1.0756 | 3.4682 | 1800 | 0.4914 |
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+ | 1.0806 | 3.5645 | 1850 | 0.4835 |
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+ | 1.0592 | 3.6609 | 1900 | 0.4891 |
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+ | 1.054 | 3.7572 | 1950 | 0.4906 |
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+ | 1.0297 | 3.8536 | 2000 | 0.4863 |
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+ | 1.0461 | 3.9499 | 2050 | 0.4833 |
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+ | 1.0244 | 4.0462 | 2100 | 0.4836 |
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+ | 1.0341 | 4.1426 | 2150 | 0.4826 |
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+ | 1.0287 | 4.2389 | 2200 | 0.4806 |
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+ | 1.026 | 4.3353 | 2250 | 0.4831 |
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+ | 1.0354 | 4.4316 | 2300 | 0.4850 |
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+ | 1.0665 | 4.5279 | 2350 | 0.4824 |
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+ | 1.0291 | 4.6243 | 2400 | 0.4800 |
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+ | 1.0425 | 4.7206 | 2450 | 0.4791 |
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+ | 1.0367 | 4.8170 | 2500 | 0.4796 |
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+ | 1.0393 | 4.9133 | 2550 | 0.4814 |
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+ | 1.0301 | 5.0096 | 2600 | 0.4799 |
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+ | 1.0431 | 5.1060 | 2650 | 0.4790 |
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+ | 1.0261 | 5.2023 | 2700 | 0.4791 |
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+ | 1.05 | 5.2987 | 2750 | 0.4804 |
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+ | 1.0296 | 5.3950 | 2800 | 0.4794 |
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+ | 1.0296 | 5.4913 | 2850 | 0.4805 |
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+ | 1.0214 | 5.5877 | 2900 | 0.4792 |
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+ | 1.0277 | 5.6840 | 2950 | 0.4781 |
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+ | 1.0355 | 5.7803 | 3000 | 0.4764 |
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+ | 1.0325 | 5.8767 | 3050 | 0.4779 |
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+ | 1.0206 | 5.9730 | 3100 | 0.4768 |
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+ | 1.0316 | 6.0694 | 3150 | 0.4793 |
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+ | 1.0426 | 6.1657 | 3200 | 0.4771 |
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+ | 1.0562 | 6.2620 | 3250 | 0.4786 |
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+ | 1.0242 | 6.3584 | 3300 | 0.4792 |
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+ | 1.0144 | 6.4547 | 3350 | 0.4788 |
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+ | 1.0335 | 6.5511 | 3400 | 0.4761 |
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+ | 0.9995 | 6.6474 | 3450 | 0.4757 |
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+ | 1.0119 | 6.7437 | 3500 | 0.4772 |
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+ | 1.0355 | 6.8401 | 3550 | 0.4789 |
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+ | 0.9858 | 6.9364 | 3600 | 0.4767 |
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+ | 1.0327 | 7.0328 | 3650 | 0.4757 |
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+ | 1.0355 | 7.1291 | 3700 | 0.4746 |
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+ | 0.9974 | 7.2254 | 3750 | 0.4757 |
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+ | 1.0296 | 7.3218 | 3800 | 0.4761 |
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+ | 1.0033 | 7.4181 | 3850 | 0.4759 |
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+ | 1.0013 | 7.5145 | 3900 | 0.4751 |
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+ | 1.0086 | 7.6108 | 3950 | 0.4756 |
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+ | 1.0191 | 7.7071 | 4000 | 0.4769 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.46.0.dev0
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+ - Pytorch 2.4.0
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+ - Datasets 3.0.1
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+ - Tokenizers 0.20.0
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+ "activation_dropout": 0.1,
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+ "encoder_layers": 12,
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+ "encoder_max_relative_position": 160,
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+ "feat_extract_activation": "gelu",
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+ "feat_extract_norm": "group",
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+ "feat_proj_dropout": 0.0,
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+ "guided_attention_loss_sigma": 0.4,
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+ "hidden_dropout": 0.1,
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+ "hidden_size": 768,
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+ "initializer_range": 0.02,
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+ "max_speech_positions": 1876,
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+ "max_text_positions": 600,
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+ "model_type": "speecht5",
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+ "num_conv_pos_embedding_groups": 16,
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+ "use_cache": false,
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+ "use_guided_attention_loss": true,
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+ "vocab_size": 81
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+ }
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