mlfoundations-dev / llama3-1_8b_math_100000_samples

huggingface.co
Total runs: 9
24-hour runs: 0
7-day runs: 0
30-day runs: 9
Model's Last Updated: January 10 2025
text-generation

Introduction of llama3-1_8b_math_100000_samples

Model Details of llama3-1_8b_math_100000_samples

llama3-1_8b_math_100000_samples

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

  • Loss: 0.5704
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-06
  • train_batch_size: 16
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 32
  • total_train_batch_size: 512
  • total_eval_batch_size: 256
  • optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: constant
  • num_epochs: 3.0
Training results
Training Loss Epoch Step Validation Loss
0.5845 1.0 84 0.5790
0.5425 2.0 168 0.5689
0.5111 3.0 252 0.5704
Framework versions
  • Transformers 4.46.1
  • Pytorch 2.4.0
  • Datasets 3.0.2
  • Tokenizers 0.20.3

Runs of mlfoundations-dev llama3-1_8b_math_100000_samples on huggingface.co

9
Total runs
0
24-hour runs
0
3-day runs
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7-day runs
9
30-day runs

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