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Model save
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README.md
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---
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language:
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- en
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license: mit
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base_model: microsoft/speecht5_tts
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tags:
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- en_accent,mozilla,t5,common_voice_1_0
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- generated_from_trainer
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datasets:
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- mozilla-foundation/common_voice_1_0
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model-index:
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- name:
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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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#
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This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the
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It achieves the following results on the evaluation set:
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- Loss: 0.
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## Model description
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### Training results
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| Training Loss | Epoch
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### Framework versions
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---
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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
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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_tts
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This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4466
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| No log | 0.33 | 250 | 0.6848 |
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| 0.7756 | 0.66 | 500 | 0.5241 |
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| 0.7756 | 0.99 | 750 | 0.4902 |
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| 0.5506 | 1.33 | 1000 | 0.4789 |
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| 0.5506 | 1.66 | 1250 | 0.4696 |
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| 0.5237 | 1.99 | 1500 | 0.4657 |
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| 0.5237 | 2.32 | 1750 | 0.4603 |
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| 0.5008 | 2.65 | 2000 | 0.4620 |
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| 0.5008 | 2.98 | 2250 | 0.4587 |
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| 0.4914 | 3.32 | 2500 | 0.4543 |
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| 0.4914 | 3.65 | 2750 | 0.4523 |
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| 0.4896 | 3.98 | 3000 | 0.4547 |
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| 0.4896 | 4.31 | 3250 | 0.4509 |
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| 0.4817 | 4.64 | 3500 | 0.4496 |
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| 0.4817 | 4.97 | 3750 | 0.4487 |
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| 0.4762 | 5.31 | 4000 | 0.4480 |
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| 0.4762 | 5.64 | 4250 | 0.4515 |
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| 0.4741 | 5.97 | 4500 | 0.4432 |
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| 0.4741 | 6.3 | 4750 | 0.4449 |
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| 0.4703 | 6.63 | 5000 | 0.4478 |
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| 0.4703 | 6.96 | 5250 | 0.4426 |
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| 0.4649 | 7.29 | 5500 | 0.4445 |
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| 0.4649 | 7.63 | 5750 | 0.4454 |
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| 0.4642 | 7.96 | 6000 | 0.4491 |
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| 0.4642 | 8.29 | 6250 | 0.4463 |
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| 0.4638 | 8.62 | 6500 | 0.4447 |
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| 0.4638 | 8.95 | 6750 | 0.4426 |
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| 0.4588 | 9.28 | 7000 | 0.4417 |
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| 0.4588 | 9.62 | 7250 | 0.4433 |
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| 0.4571 | 9.95 | 7500 | 0.4454 |
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| 0.4571 | 10.28 | 7750 | 0.4437 |
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| 0.4559 | 10.61 | 8000 | 0.4462 |
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| 0.4559 | 10.94 | 8250 | 0.4442 |
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| 0.453 | 11.27 | 8500 | 0.4483 |
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| 0.453 | 11.6 | 8750 | 0.4438 |
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| 0.452 | 11.94 | 9000 | 0.4425 |
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| 0.452 | 12.27 | 9250 | 0.4443 |
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| 0.4518 | 12.6 | 9500 | 0.4428 |
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| 0.4518 | 12.93 | 9750 | 0.4430 |
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| 0.448 | 13.26 | 10000 | 0.4449 |
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| 0.448 | 13.59 | 10250 | 0.4449 |
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| 0.4481 | 13.93 | 10500 | 0.4470 |
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| 0.4481 | 14.26 | 10750 | 0.4446 |
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| 0.4453 | 14.59 | 11000 | 0.4465 |
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| 0.4453 | 14.92 | 11250 | 0.4443 |
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| 0.4466 | 15.25 | 11500 | 0.4447 |
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| 0.4466 | 15.58 | 11750 | 0.4440 |
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| 0.4454 | 15.92 | 12000 | 0.4447 |
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| 0.4454 | 16.25 | 12250 | 0.4474 |
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| 0.4426 | 16.58 | 12500 | 0.4461 |
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| 0.4426 | 16.91 | 12750 | 0.4485 |
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| 0.4452 | 17.24 | 13000 | 0.4477 |
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| 0.4452 | 17.57 | 13250 | 0.4450 |
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| 0.4406 | 17.9 | 13500 | 0.4496 |
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| 0.4406 | 18.24 | 13750 | 0.4459 |
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| 0.4424 | 18.57 | 14000 | 0.4458 |
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| 0.4424 | 18.9 | 14250 | 0.4486 |
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| 0.4402 | 19.23 | 14500 | 0.4475 |
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| 0.4402 | 19.56 | 14750 | 0.4462 |
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| 0.4393 | 19.89 | 15000 | 0.4466 |
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### Framework versions
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model.safetensors
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runs/Dec09_23-34-58_Threadripper/events.out.tfevents.1702182898.Threadripper
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training_args.bin
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