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Llama2-7b-BoolQ-full-LoRA

PEFT
Safetensors
trl
sft
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metadata
license: llama2
library_name: peft
tags:
  - trl
  - sft
  - generated_from_trainer
base_model: meta-llama/Llama-2-7b-hf
model-index:
  - name: Llama2-7b-BoolQ-full-LoRA
    results: []

Llama2-7b-BoolQ-full-LoRA

This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5874

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: 0.0001
  • 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
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
0.5743 0.9996 1178 0.3069
0.3457 2.0 2357 0.3704
0.9745 2.9987 3534 0.5874

Framework versions

  • PEFT 0.11.1
  • Transformers 4.41.1
  • Pytorch 2.3.0
  • Datasets 2.19.1
  • Tokenizers 0.19.1