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README.md ADDED
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+ ---
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+ library_name: transformers
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+ language:
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+ - nl
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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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+ datasets:
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+ - procit007/saskia_may23_39768
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+ model-index:
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+ - name: speecht5_tts_v1_100
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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_v1_100
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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 the saskia_may23_39768 dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4580
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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: 4
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+ - eval_batch_size: 2
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+ - seed: 42
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+ - gradient_accumulation_steps: 8
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+ - total_train_batch_size: 32
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+ - optimizer: Use OptimizerNames.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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+ - num_epochs: 90
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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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+ | 0.5267 | 2.7939 | 1000 | 0.4852 |
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+ | 0.4925 | 5.5870 | 2000 | 0.4635 |
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+ | 0.488 | 8.3802 | 3000 | 0.4534 |
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+ | 0.4771 | 11.1733 | 4000 | 0.4528 |
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+ | 0.4703 | 13.9672 | 5000 | 0.4473 |
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+ | 0.4566 | 16.7603 | 6000 | 0.4435 |
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+ | 0.4548 | 19.5535 | 7000 | 0.4532 |
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+ | 0.4499 | 22.3466 | 8000 | 0.4473 |
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+ | 0.456 | 25.1398 | 9000 | 0.4446 |
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+ | 0.4531 | 27.9336 | 10000 | 0.4457 |
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+ | 0.4479 | 30.7268 | 11000 | 0.4495 |
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+ | 0.4461 | 33.5199 | 12000 | 0.4430 |
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+ | 0.4384 | 36.3131 | 13000 | 0.4410 |
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+ | 0.4346 | 39.1062 | 14000 | 0.4475 |
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+ | 0.4399 | 41.9001 | 15000 | 0.4461 |
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+ | 0.4342 | 44.6932 | 16000 | 0.4455 |
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+ | 0.433 | 47.4864 | 17000 | 0.4486 |
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+ | 0.4344 | 50.2795 | 18000 | 0.4568 |
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+ | 0.433 | 53.0727 | 19000 | 0.4490 |
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+ | 0.4318 | 55.8665 | 20000 | 0.4554 |
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+ | 0.4292 | 58.6597 | 21000 | 0.4535 |
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+ | 0.4289 | 61.4528 | 22000 | 0.4510 |
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+ | 0.4284 | 64.2460 | 23000 | 0.4534 |
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+ | 0.43 | 67.0391 | 24000 | 0.4489 |
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+ | 0.4277 | 69.8330 | 25000 | 0.4541 |
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+ | 0.429 | 72.6261 | 26000 | 0.4548 |
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+ | 0.423 | 75.4193 | 27000 | 0.4612 |
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+ | 0.4265 | 78.2124 | 28000 | 0.4516 |
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+ | 0.4344 | 81.0056 | 29000 | 0.4584 |
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+ | 0.4303 | 83.7994 | 30000 | 0.4610 |
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+ | 0.4279 | 86.5926 | 31000 | 0.4562 |
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+ | 0.428 | 89.3857 | 32000 | 0.4580 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.56.0.dev0
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+ - Pytorch 2.6.0+cu124
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+ - Datasets 3.6.0
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+ - Tokenizers 0.21.2
generation_config.json ADDED
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+ {
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+ "_from_model_config": true,
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+ "bos_token_id": 0,
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+ "decoder_start_token_id": 2,
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+ "eos_token_id": [
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+ 2
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+ ],
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+ "max_length": 1876,
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+ "pad_token_id": 1,
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+ "transformers_version": "4.56.0.dev0"
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+ }
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