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metadata
license: llama3
library_name: peft
tags:
  - generated_from_trainer
base_model: meta-llama/Meta-Llama-3-8B
model-index:
  - name: Llama-3-8B-ARC-Challenge-20-31-LoRA-train-0-A
    results: []

Llama-3-8B-ARC-Challenge-20-31-LoRA-train-0-A

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

  • Loss: 1.4235

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-05
  • train_batch_size: 2
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 4
  • 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: 0.05
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss
2.0049 1.0 140 1.7469
1.4062 2.0 280 1.4296
1.4287 3.0 420 1.4235

Framework versions

  • PEFT 0.11.1
  • Transformers 4.41.1
  • Pytorch 2.3.1
  • Datasets 2.19.1
  • Tokenizers 0.19.1