This model is a fine-tuned version of meta-llama/CodeLlama-7b-hf on the fals3/methods2test_small fm+fc+c+m+f+t+tc dataset.
It achieves the following results on the evaluation set:
Loss: 0.5437
Accuracy: 0.6745
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: 5e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 8
total_train_batch_size: 16
total_eval_batch_size: 2
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
