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End of training

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  1. README.md +5 -4
README.md CHANGED
@@ -36,15 +36,16 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0002
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- - train_batch_size: 2
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  - eval_batch_size: 8
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  - seed: 42
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  - gradient_accumulation_steps: 2
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- - total_train_batch_size: 4
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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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- - training_steps: 20
 
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  ### Training results
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@@ -55,5 +56,5 @@ The following hyperparameters were used during training:
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  - PEFT 0.7.2.dev0
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  - Transformers 4.36.2
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  - Pytorch 2.1.0+cu121
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- - Datasets 2.16.0
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  - Tokenizers 0.15.0
 
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0002
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+ - train_batch_size: 4
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  - eval_batch_size: 8
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  - seed: 42
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  - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 8
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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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+ - training_steps: 180
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+ - mixed_precision_training: Native AMP
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  ### Training results
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  - PEFT 0.7.2.dev0
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  - Transformers 4.36.2
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  - Pytorch 2.1.0+cu121
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+ - Datasets 2.16.1
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  - Tokenizers 0.15.0