This model is a fine-tuned version of qfq/Llama-3.1-8B-Instruct-EI2-2ep-sft on an unknown dataset.
It achieves the following results on the evaluation set:
Loss: 0.1601
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 6e-06
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 64
total_train_batch_size: 64
total_eval_batch_size: 512
optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
