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llama3_8b_baseline_instructskillmix

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metadata
library_name: transformers
license: llama3
base_model: meta-llama/Meta-Llama-3-8B
tags:
  - llama-factory
  - full
  - generated_from_trainer
model-index:
  - name: llama3_8b_baseline_instructskillmix
    results: []

llama3_8b_baseline_instructskillmix

This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on the PrincetonPLI/Instruct-SkillMix-SDD dataset. It achieves the following results on the evaluation set:

  • Loss: 1.7067

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: 4
  • eval_batch_size: 4
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 8
  • gradient_accumulation_steps: 32
  • total_train_batch_size: 1024
  • total_eval_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant
  • lr_scheduler_warmup_ratio: 0.1
  • lr_scheduler_warmup_steps: 1738
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss
No log 0.5333 1 1.8346
No log 1.6 3 1.7067

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.0
  • Datasets 2.21.0
  • Tokenizers 0.19.1