This model is a fine-tuned version of meta-llama/Llama-3.1-8B-Instruct on the Rafiq_finetune_train dataset.
It achieves the following results on the evaluation set:
Loss: 1.1838
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: 0.0002
train_batch_size: 3
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 12
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
