End of training
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- generation_config.json +9 -0
README.md
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@@ -4,20 +4,20 @@ 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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model-index:
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- name:
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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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#
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This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the facebook/voxpopuli dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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## Model description
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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:
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- eval_batch_size: 2
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size:
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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:
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- training_steps: 1000
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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.
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| 0.
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### Framework versions
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- Transformers 4.
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- Pytorch 1.12.1+cu116
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- Datasets 2.4
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- Tokenizers 0.12.1
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tags:
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- generated_from_trainer
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datasets:
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- voxpopuli-it
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model-index:
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- name: speecht5_tts-ft-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_tts-ft-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 facebook/voxpopuli-it dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5126
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## Model description
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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: 2
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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: 300
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- training_steps: 1000
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.6118 | 1.94 | 300 | 0.5508 |
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| 0.5729 | 3.89 | 600 | 0.5204 |
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| 0.563 | 5.83 | 900 | 0.5126 |
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### Framework versions
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- Transformers 4.33.0
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- Pytorch 1.12.1+cu116
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- Datasets 2.14.4
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- Tokenizers 0.12.1
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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": "4.33.0"
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}
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