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Llama3-Energy

Text Generation
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Safetensors
llama
llama-factory
full
Generated from Trainer
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text-generation-inference
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metadata
license: other
base_model: meta-llama/Meta-Llama-3-8B
tags:
  - llama-factory
  - full
  - generated_from_trainer
model-index:
  - name: llama3-8b-energy
    results: []
datasets:
  - Zihao-Li/IEA_Energy_Dataset
pipeline_tag: text-generation

Visualize in Weights & Biases

llama3-8b-energy

This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on the IEA_Energy_Dataset.

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 0.0001
  • train_batch_size: 4
  • eval_batch_size: 1
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 4
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 32
  • total_eval_batch_size: 4
  • 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

Training results

Training Loss Epoch Step Validation Loss
1.75 1.8868 1000 2.2884

Framework versions

  • Transformers 4.42.4
  • Pytorch 2.3.1+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1