Syed-Hasan-8503/Llama-3.1-8b-BAdam

sft

This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B on the belle_math dataset. It achieves the following results on the evaluation set:

• Loss: 0.9967

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: 0.0001
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 8
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• training_steps: 500

Training results

Training Loss	Epoch	Step	Validation Loss
0.6272	4.4444	500	0.9967

Framework versions

• Transformers 4.43.3
• Pytorch 2.2.0+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1