nonoJDWAOIDAWKDA commited on
Commit
c6c9846
1 Parent(s): 5f7eaed

Training in progress, step 100

Browse files
README.md CHANGED
@@ -1,7 +1,7 @@
1
  ---
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  library_name: transformers
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  license: mit
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- base_model: nonoJDWAOIDAWKDA/speecht5_finetuned_nono
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  tags:
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  - generated_from_trainer
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  model-index:
@@ -14,9 +14,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # speecht5_finetuned_nono
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- This model is a fine-tuned version of [nonoJDWAOIDAWKDA/speecht5_finetuned_nono](https://huggingface.co/nonoJDWAOIDAWKDA/speecht5_finetuned_nono) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5761
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  ## Model description
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@@ -41,7 +41,7 @@ The following hyperparameters were used during training:
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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_ratio: 0.1
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  - lr_scheduler_warmup_steps: 100
@@ -52,16 +52,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-------:|:----:|:---------------:|
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- | 0.4141 | 16.6667 | 100 | 0.5827 |
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- | 0.4192 | 33.3333 | 200 | 0.5684 |
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- | 0.4133 | 50.0 | 300 | 0.5686 |
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- | 0.4028 | 66.6667 | 400 | 0.5810 |
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- | 0.3954 | 83.3333 | 500 | 0.5761 |
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  ### Framework versions
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- - Transformers 4.45.0
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- - Pytorch 2.4.1+cu118
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  - Datasets 3.1.0
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  - Tokenizers 0.20.0
 
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  ---
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  library_name: transformers
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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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  model-index:
 
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  # speecht5_finetuned_nono
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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: 0.6025
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  ## Model description
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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: 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_ratio: 0.1
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  - lr_scheduler_warmup_steps: 100
 
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-------:|:----:|:---------------:|
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+ | 0.6064 | 16.6667 | 100 | 0.5937 |
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+ | 0.5045 | 33.3333 | 200 | 0.5903 |
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+ | 0.481 | 50.0 | 300 | 0.5985 |
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+ | 0.4639 | 66.6667 | 400 | 0.5867 |
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+ | 0.4483 | 83.3333 | 500 | 0.6025 |
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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 0.20.0
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