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--- |
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language: |
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- da |
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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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- alexandrainst/nst-da |
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model-index: |
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- name: speecht5_tts-finetuned-nst-da |
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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-finetuned-nst-da |
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This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the NST Danish ASR Database dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3298 |
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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: 5e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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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_ratio: 0.1 |
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- num_epochs: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:------:|:---------------:| |
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| 0.3762 | 1.0 | 9429 | 0.3670 | |
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| 0.3596 | 2.0 | 18858 | 0.3577 | |
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| 0.3498 | 3.0 | 28287 | 0.3535 | |
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| 0.3356 | 4.0 | 37716 | 0.3414 | |
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| 0.3405 | 5.0 | 47145 | 0.3378 | |
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| 0.3312 | 6.0 | 56574 | 0.3397 | |
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| 0.3326 | 7.0 | 66003 | 0.3377 | |
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| 0.3299 | 8.0 | 75432 | 0.3384 | |
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| 0.3279 | 9.0 | 84861 | 0.3363 | |
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| 0.3203 | 10.0 | 94290 | 0.3335 | |
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| 0.3235 | 11.0 | 103719 | 0.3367 | |
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| 0.3188 | 12.0 | 113148 | 0.3365 | |
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| 0.3141 | 13.0 | 122577 | 0.3324 | |
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| 0.3176 | 14.0 | 132006 | 0.3345 | |
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| 0.3221 | 15.0 | 141435 | 0.3331 | |
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| 0.3157 | 16.0 | 150864 | 0.3317 | |
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| 0.314 | 17.0 | 160293 | 0.3298 | |
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| 0.3164 | 18.0 | 169722 | 0.3316 | |
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| 0.3172 | 19.0 | 179151 | 0.3315 | |
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| 0.3179 | 20.0 | 188580 | 0.3318 | |
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### Framework versions |
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- Transformers 4.37.2 |
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- Pytorch 2.1.1+cu121 |
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- Datasets 2.17.0 |
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- Tokenizers 0.15.2 |
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