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--- |
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license: mit |
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base_model: GCYY/speecht5_finetuned_fleurs_zh |
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tags: |
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- generated_from_trainer |
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datasets: |
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- common_voice_13_0 |
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model-index: |
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- name: speecht5_finetuned_zh-TW |
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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_zh-TW |
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This model is a fine-tuned version of [GCYY/speecht5_finetuned_fleurs_zh](https://huggingface.co/GCYY/speecht5_finetuned_fleurs_zh) on the common_voice_13_0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5108 |
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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: 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: 500 |
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- training_steps: 4000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.5844 | 6.62 | 1000 | 0.5454 | |
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| 0.5495 | 13.25 | 2000 | 0.5215 | |
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| 0.5536 | 19.87 | 3000 | 0.5176 | |
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| 0.5257 | 26.49 | 4000 | 0.5108 | |
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### Framework versions |
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- Transformers 4.33.3 |
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- Pytorch 2.0.1 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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