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Saving train state of step 5000
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adam_beta1: 0.9
adam_beta2: 0.999
global_batch_size: 64
gradient_accumulation_steps: 1
learning_rate: 0.0001
logprob_threshold: -1.5
lr_scheduler_type: !!python/object/apply:transformers.trainer_utils.SchedulerType
- linear
max_label_length: 4096
max_steps: 200000
mixed_precision: bf16
model_name_or_path: sanchit-gandhi/Mistral-1.5B-Instruct-v0.2
num_train_epochs: 3.0
per_device_train_batch_size: 8
teacher_name_or_path: mistralai/Mistral-7B-Instruct-v0.2
temperature: 2.0
warmup_steps: 500
weight_decay: 0.0