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llama3-1_8b_oh_v3.1_wo_evol_instruct_140k - GGUF

Original model description:

library_name: transformers license: llama3.1 base_model: meta-llama/Meta-Llama-3.1-8B tags: - llama-factory - full - generated_from_trainer model-index: - name: llama3-1_8b_oh_v3.1_wo_evol_instruct_140k results: []

llama3-1_8b_oh_v3.1_wo_evol_instruct_140k

This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B on the mlfoundations-dev/oh_v3.1_wo_evol_instruct_140k dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6179

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
  • lr_scheduler_warmup_ratio: 0.1
  • lr_scheduler_warmup_steps: 1738
  • num_epochs: 3.0

Training results

Training Loss Epoch Step Validation Loss
0.6302 1.0 377 0.6257
0.5815 2.0 754 0.6156
0.5442 3.0 1131 0.6179

Framework versions

  • Transformers 4.46.1
  • Pytorch 2.4.0
  • Datasets 3.0.2
  • Tokenizers 0.20.3
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