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nonoJDWAOIDAWKDA
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speecht5_finetuned_nono

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End of training

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Files changed (4) hide show
  1. README.md +13 -8
  2. generation_config.json +1 -1
  3. model.safetensors +1 -1
  4. runs/Nov19_18-36-08_DESKTOP-34HL3JL/events.out.tfevents.1732016169.DESKTOP-34HL3JL.11304.0 +2 -2
README.md CHANGED
@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5541
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  ## Model description
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@@ -44,23 +44,28 @@ The following hyperparameters were used during training:
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 100
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- - training_steps: 500
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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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- | 0.5163 | 29.6296 | 100 | 0.5208 |
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- | 0.4524 | 59.2593 | 200 | 0.5449 |
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- | 0.4257 | 88.8889 | 300 | 0.5417 |
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- | 0.4084 | 118.5185 | 400 | 0.5472 |
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- | 0.3904 | 148.1481 | 500 | 0.5541 |
 
 
 
 
 
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  ### Framework versions
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- - Transformers 4.46.2
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  - Pytorch 2.5.1+cu121
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  - Datasets 3.1.0
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  - Tokenizers 0.20.3
 
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  This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5475
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  ## Model description
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 100
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+ - training_steps: 1000
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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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+ | 0.5131 | 29.6296 | 100 | 0.5124 |
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+ | 0.4586 | 59.2593 | 200 | 0.5242 |
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+ | 0.4348 | 88.8889 | 300 | 0.5369 |
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+ | 0.4093 | 118.5185 | 400 | 0.5420 |
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+ | 0.3839 | 148.1481 | 500 | 0.5394 |
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+ | 0.3788 | 177.7778 | 600 | 0.5430 |
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+ | 0.3686 | 207.4074 | 700 | 0.5504 |
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+ | 0.3606 | 237.0370 | 800 | 0.5518 |
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+ | 0.3555 | 266.6667 | 900 | 0.5524 |
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+ | 0.3538 | 296.2963 | 1000 | 0.5475 |
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  ### Framework versions
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+ - Transformers 4.46.3
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  - Pytorch 2.5.1+cu121
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  - Datasets 3.1.0
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  - Tokenizers 0.20.3
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": "4.46.2"
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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": "4.46.3"
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  }
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