This model is a fine-tuned version of /home/datht/huggingface/meta-llama/Llama-3.2-3B-Instruct on the /home/datht/codes/data/multi-agents/planner/sft-gpt-4o-mini-planner_combine_with_true_sql_bird_062024_with_evidence_train/ dataset.
It achieves the following results on the evaluation set:
Loss: 0.0070
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: 2e-05
train_batch_size: 8
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
gradient_accumulation_steps: 16
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
