metadata

base_model: meta-llama/Meta-Llama-3-8B
datasets:
  - llama-duo/synth_summarize_dataset_dedup
library_name: peft
license: llama3
tags:
  - alignment-handbook
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: llama3.1-8b-gpt4o_100k_summarize-k
    results: []

llama3.1-8b-gpt4o_100k_summarize-k

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

Loss: 2.0191

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: 0.0003
train_batch_size: 4
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 2
total_train_batch_size: 64
total_eval_batch_size: 32
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
0.8477	1.0	195	2.0191

Framework versions

PEFT 0.13.1.dev0
Transformers 4.45.1
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.20.0