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End of training

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  1. README.md +13 -12
  2. generation_config.json +9 -0
README.md CHANGED
@@ -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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- - facebook/voxpopuli
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  model-index:
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- - name: microsoft/speecht5_tts-ft-voxpopuli-nl
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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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- # microsoft/speecht5_tts-ft-voxpopuli-nl
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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: 0.4765
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  ## Model description
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@@ -37,27 +37,28 @@ More information needed
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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: 32
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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: 128
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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: 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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- | 0.5251 | 8.58 | 500 | 0.4859 |
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- | 0.5138 | 17.17 | 1000 | 0.4765 |
 
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  ### Framework versions
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- - Transformers 4.31.0
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  - Pytorch 1.12.1+cu116
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- - Datasets 2.4.0
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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
generation_config.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
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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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+ }