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llama-3-8B-lora-sft

This model is a fine-tuned version of ytcheng/llama-3-8B-pretrain on the sm_question dataset. It achieves the following results on the evaluation set:

  • Loss: 1.9779

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
  • num_epochs: 3.0
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
2.5512 0.1461 200 2.5884
2.3861 0.2923 400 2.4773
2.5938 0.4384 600 2.3990
2.3384 0.5845 800 2.3486
2.3232 0.7307 1000 2.3094
2.2603 0.8768 1200 2.2487
2.1007 1.0229 1400 2.2064
2.0635 1.1691 1600 2.1665
2.1212 1.3152 1800 2.1353
2.038 1.4613 2000 2.0880
1.9656 1.6075 2200 2.0618
2.0285 1.7536 2400 2.0393
1.9932 1.8997 2600 2.0270
1.6477 2.0458 2800 2.0164
1.5985 2.1920 3000 2.0024
1.8708 2.3381 3200 1.9918
1.8533 2.4842 3400 1.9873
1.7357 2.6304 3600 1.9813
1.8041 2.7765 3800 1.9782
1.7998 2.9226 4000 1.9780

Framework versions

  • PEFT 0.10.0
  • Transformers 4.40.0
  • Pytorch 2.2.2+cu121
  • Datasets 2.18.0
  • Tokenizers 0.19.1
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