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--- |
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license: mit |
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base_model: bregsi/speecht5_finetuned_voxpopuli_de |
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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_voxpopuli_de_16 |
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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_finetuned_voxpopuli_de_16 |
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This model is a fine-tuned version of [bregsi/speecht5_finetuned_voxpopuli_de](https://huggingface.co/bregsi/speecht5_finetuned_voxpopuli_de) on the voxpopuli dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4477 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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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: 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: 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: 500 |
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- training_steps: 12000 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-------:|:-----:|:---------------:| |
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| 0.4928 | 2.2812 | 1000 | 0.4584 | |
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| 0.4885 | 4.5623 | 2000 | 0.4555 | |
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| 0.4831 | 6.8435 | 3000 | 0.4523 | |
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| 0.4815 | 9.1246 | 4000 | 0.4515 | |
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| 0.4786 | 11.4058 | 5000 | 0.4508 | |
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| 0.4735 | 13.6869 | 6000 | 0.4491 | |
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| 0.4734 | 15.9681 | 7000 | 0.4494 | |
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| 0.4729 | 18.2492 | 8000 | 0.4482 | |
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| 0.4678 | 20.5304 | 9000 | 0.4483 | |
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| 0.4722 | 22.8115 | 10000 | 0.4479 | |
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| 0.47 | 25.0927 | 11000 | 0.4481 | |
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| 0.4682 | 27.3738 | 12000 | 0.4477 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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