End of training
Browse files- README.md +72 -0
- generation_config.json +9 -0
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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- facebook/voxpopuli
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model-index:
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- name: speecht5_quick_finetuned_voxpopuli_it
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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_quick_finetuned_voxpopuli_it
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This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the voxpopuli dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4879
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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: 250
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- training_steps: 2500
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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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| 0.5535 | 1.53 | 250 | 0.5129 |
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| 0.5395 | 3.07 | 500 | 0.5065 |
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| 0.5393 | 4.6 | 750 | 0.4994 |
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| 0.5316 | 6.13 | 1000 | 0.4956 |
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| 0.5372 | 7.66 | 1250 | 0.4919 |
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| 0.53 | 9.2 | 1500 | 0.4914 |
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| 0.5277 | 10.73 | 1750 | 0.4888 |
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| 0.5198 | 12.26 | 2000 | 0.4896 |
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| 0.5236 | 13.79 | 2250 | 0.4880 |
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| 0.5209 | 15.33 | 2500 | 0.4879 |
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### Framework versions
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- Transformers 4.38.2
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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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": "4.38.2"
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}
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