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End of training

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  1. README.md +3 -4
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@@ -43,7 +43,7 @@ The following hyperparameters were used during training:
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: cosine
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  - lr_scheduler_warmup_ratio: 0.03
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- - num_epochs: 3
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  - mixed_precision_training: Native AMP
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  ### Training results
@@ -52,8 +52,7 @@ The following hyperparameters were used during training:
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  ### Framework versions
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- - PEFT 0.11.1
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- - Transformers 4.41.0
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  - Pytorch 2.3.0+cu121
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- - Datasets 2.19.1
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  - Tokenizers 0.19.1
 
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: cosine
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  - lr_scheduler_warmup_ratio: 0.03
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+ - num_epochs: 10
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  - mixed_precision_training: Native AMP
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  ### Training results
 
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  ### Framework versions
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+ - PEFT 0.11.2.dev0
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+ - Transformers 4.42.0.dev0
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  - Pytorch 2.3.0+cu121
 
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  - Tokenizers 0.19.1