CodeLlama-13b-Instruct-sft-5e-3-epoch-100-gsm8k

• Loss: 4.0229
• Loss Layer 5 Head: 1.4382
• Loss Layer 10 Head: 0.9813
• Loss Layer 15 Head: 0.9315
• Loss Layer 20 Head: 0.4901
• Loss Layer 25 Head: 0.1839
• Loss Layer 30 Head: 0.1044
• Loss Layer 35 Head: 0.1004

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

• learning_rate: 0.005
• train_batch_size: 1
• eval_batch_size: 2
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• gradient_accumulation_steps: 16
• total_train_batch_size: 128
• total_eval_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 100

Training results

Framework versions

• Transformers 4.43.2
• Pytorch 2.5.1+cu124
• Datasets 3.2.0
• Tokenizers 0.19.1