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End of training

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  1. README.md +14 -13
  2. generation_config.json +1 -1
README.md CHANGED
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  ---
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- base_model: Edmon02/speecht5_finetuned_voxpopuli_nl
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  tags:
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  - generated_from_trainer
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  model-index:
@@ -12,9 +12,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # speecht5_finetuned_voxpopuli_hy
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- This model is a fine-tuned version of [Edmon02/speecht5_finetuned_voxpopuli_nl](https://huggingface.co/Edmon02/speecht5_finetuned_voxpopuli_nl) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6466
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  ## Model description
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@@ -41,22 +41,23 @@ The following hyperparameters were used during training:
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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: 125
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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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- | 0.7114 | 2.4600 | 250 | 0.6624 |
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- | 0.6999 | 4.9200 | 500 | 0.6542 |
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- | 0.7079 | 7.3801 | 750 | 0.6487 |
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- | 0.6972 | 9.8401 | 1000 | 0.6466 |
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  ### Framework versions
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- - Transformers 4.42.4
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- - Pytorch 2.3.1+cu121
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  - Datasets 2.20.0
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  - Tokenizers 0.19.1
 
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  ---
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+ base_model: Edmon02/speecht5_finetuned_voxpopuli_hy
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  tags:
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  - generated_from_trainer
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  model-index:
 
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  # speecht5_finetuned_voxpopuli_hy
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+ This model is a fine-tuned version of [Edmon02/speecht5_finetuned_voxpopuli_hy](https://huggingface.co/Edmon02/speecht5_finetuned_voxpopuli_hy) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5734
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  ## Model description
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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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+ - 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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+ | 0.6866 | 9.8401 | 1000 | 0.6304 |
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+ | 0.6736 | 19.6802 | 2000 | 0.6190 |
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+ | 0.6386 | 29.5203 | 3000 | 0.5798 |
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+ | 0.6381 | 39.3604 | 4000 | 0.5734 |
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  ### Framework versions
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+ - Transformers 4.43.3
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+ - Pytorch 2.4.0+cu121
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  - Datasets 2.20.0
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  - Tokenizers 0.19.1
generation_config.json CHANGED
@@ -5,5 +5,5 @@
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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": "4.42.4"
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  }
 
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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": "4.43.3"
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  }