Llama-3.1-8b-BAdam / README.md
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metadata
license: other
base_model: meta-llama/Meta-Llama-3.1-8B
tags:
  - llama-factory
  - full
  - generated_from_trainer
model-index:
  - name: sft
    results: []

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