metadata

license: llama3
library_name: peft
tags:
  - alignment-handbook
  - trl
  - sft
  - generated_from_trainer
base_model: meta-llama/Meta-Llama-3-8B-Instruct
datasets:
  - arcee-ai/Zilo-Filtered-SQL-Instruct-v2
model-index:
  - name: llama-8b-sft-qlora
    results: []

llama-8b-sft-qlora

This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the arcee-ai/Zilo-Filtered-SQL-Instruct-v2 dataset. It achieves the following results on the evaluation set:

Loss: 0.7884

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: 0.0002
train_batch_size: 4
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
gradient_accumulation_steps: 2
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: 0.1
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.7677	1.0	69	0.7884

Framework versions

PEFT 0.11.1
Transformers 4.41.1
Pytorch 2.1.2
Datasets 2.19.1
Tokenizers 0.19.1