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End of training

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  1. README.md +3 -3
README.md CHANGED
@@ -36,11 +36,11 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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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: 8
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- - total_train_batch_size: 16
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: constant
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  - lr_scheduler_warmup_ratio: 0.03
@@ -54,7 +54,7 @@ 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 4.43.3
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  - Pytorch 2.1.2
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  - Datasets 2.20.0
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  - Tokenizers 0.19.1
 
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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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: 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: constant
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  - lr_scheduler_warmup_ratio: 0.03
 
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  ### Framework versions
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  - PEFT 0.11.1
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+ - Transformers 4.44.0
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  - Pytorch 2.1.2
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  - Datasets 2.20.0
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  - Tokenizers 0.19.1