End of training
Browse files- README.md +90 -0
- generation_config.json +9 -0
- model.safetensors +1 -1
README.md
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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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datasets:
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- common_voice_13_0
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model-index:
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- name: speecht5_tts_commonvoice_it_v2
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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_commonvoice_it_v2
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This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) 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: 0.5076
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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-06
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- train_batch_size: 32
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- eval_batch_size: 4
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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_steps: 1000
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- num_epochs: 3
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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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| 0.9213 | 0.0994 | 500 | 0.7823 |
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| 0.8356 | 0.1987 | 1000 | 0.7026 |
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| 0.6804 | 0.2981 | 1500 | 0.6003 |
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| 0.6518 | 0.3975 | 2000 | 0.5751 |
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| 0.6242 | 0.4968 | 2500 | 0.5594 |
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| 0.6237 | 0.5962 | 3000 | 0.5514 |
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| 0.6122 | 0.6955 | 3500 | 0.5414 |
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| 0.597 | 0.7949 | 4000 | 0.5335 |
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| 0.5909 | 0.8943 | 4500 | 0.5322 |
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| 0.6009 | 0.9936 | 5000 | 0.5283 |
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| 0.6086 | 1.0930 | 5500 | 0.5258 |
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| 0.5812 | 1.1924 | 6000 | 0.5209 |
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| 0.5868 | 1.2917 | 6500 | 0.5191 |
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| 0.5689 | 1.3911 | 7000 | 0.5177 |
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| 0.5777 | 1.4905 | 7500 | 0.5182 |
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| 0.577 | 1.5898 | 8000 | 0.5169 |
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| 0.5594 | 1.6892 | 8500 | 0.5150 |
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| 0.5728 | 1.7886 | 9000 | 0.5144 |
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| 0.571 | 1.8879 | 9500 | 0.5125 |
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| 0.5739 | 1.9873 | 10000 | 0.5116 |
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| 0.5819 | 2.0866 | 10500 | 0.5102 |
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| 0.5633 | 2.1860 | 11000 | 0.5102 |
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| 0.5635 | 2.2854 | 11500 | 0.5093 |
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| 0.5809 | 2.3847 | 12000 | 0.5094 |
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| 0.5647 | 2.4841 | 12500 | 0.5086 |
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| 0.5593 | 2.5835 | 13000 | 0.5065 |
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| 0.5639 | 2.6828 | 13500 | 0.5077 |
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| 0.5511 | 2.7822 | 14000 | 0.5073 |
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| 0.5534 | 2.8816 | 14500 | 0.5071 |
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| 0.5532 | 2.9809 | 15000 | 0.5076 |
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### Framework versions
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- Transformers 4.43.1
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- Pytorch 2.4.1+cu121
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- Datasets 3.0.0
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- Tokenizers 0.19.1
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 0,
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"decoder_start_token_id": 2,
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"eos_token_id": 2,
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"max_length": 1876,
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"pad_token_id": 1,
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"transformers_version": "4.43.1"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 577789320
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version https://git-lfs.github.com/spec/v1
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oid sha256:095045d26179d4ff73ceacf3ab54bea58a011201b028b8019617eebee9c75bf8
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size 577789320
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