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Youliang
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llama3-70b-lora-derta

PEFT
Safetensors
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Update README.md

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@@ -33,14 +33,14 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0001
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- - train_batch_size: 16
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  - eval_batch_size: 1
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  - seed: 1
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  - distributed_type: multi-GPU
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  - num_devices: 8
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  - gradient_accumulation_steps: 2
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  - total_train_batch_size: 128
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- - total_eval_batch_size: 6
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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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  - num_epochs: 2.0
 
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  The following hyperparameters were used during training:
35
  - learning_rate: 0.0001
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+ - train_batch_size: 8
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  - eval_batch_size: 1
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  - seed: 1
39
  - distributed_type: multi-GPU
40
  - num_devices: 8
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  - gradient_accumulation_steps: 2
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  - total_train_batch_size: 128
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+ - total_eval_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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  - num_epochs: 2.0