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End of training
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README.md
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---
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license: mit
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base_model:
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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_tts_finetuned_voxpopuli_lt
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results: []
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# speecht5_tts_finetuned_voxpopuli_lt
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This model is a fine-tuned version of [
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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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- 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:
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- total_train_batch_size:
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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: 50
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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### Framework versions
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---
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language:
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- lt
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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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- facebook/voxpopuli
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model-index:
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- name: speecht5_tts_finetuned_voxpopuli_lt
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results: []
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# speecht5_tts_finetuned_voxpopuli_lt
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This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the facebook/voxpopuli dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4692
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## Model description
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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: 50
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.6225 | 7.02 | 100 | 0.5038 |
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| 0.5198 | 15.01 | 200 | 0.4784 |
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| 0.4946 | 23.0 | 300 | 0.4827 |
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| 0.4796 | 30.02 | 400 | 0.4692 |
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### Framework versions
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runs/Mar25_08-36-00_e34600ff0ef9/events.out.tfevents.1711355895.e34600ff0ef9.34.0
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size
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