metadata

base_model: meta-llama/Meta-Llama-3-8B
datasets:
  - llama-duo/synth_classification_dataset_dedup
library_name: peft
license: llama3
tags:
  - alignment-handbook
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: llama3-8b-classification-gpt4o-100k2
    results: []

llama3-8b-classification-gpt4o-100k2

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

Loss: 1.7732

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: 0.001
train_batch_size: 4
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 2
total_train_batch_size: 32
total_eval_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
1.3767	0.9978	225	1.7732

Framework versions

PEFT 0.12.0
Transformers 4.44.0
Pytorch 2.4.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1