README.md

metadata

library_name: transformers
license: llama3.1
base_model: meta-llama/Llama-3.1-8B
tags:
  - alignment-handbook
  - trl
  - sft
  - generated_from_trainer
  - trl
  - sft
  - generated_from_trainer
datasets:
  - argilla-warehouse/magpie-ultra-v1.0
model-index:
  - name: Llama-3.1-8B-MagPie-Ultra-500k
    results: []

Llama-3.1-8B-MagPie-Ultra-500k

This model is a fine-tuned version of meta-llama/Llama-3.1-8B on the argilla-warehouse/magpie-ultra-v1.0 dataset. It achieves the following results on the evaluation set:

• Loss: 0.5953

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: 1e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• gradient_accumulation_steps: 4
• total_train_batch_size: 128
• 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: 3

Training results

Training Loss	Epoch	Step	Validation Loss
0.6117	0.9998	1458	0.6077
0.5287	1.9997	2916	0.5882
0.4775	2.9995	4374	0.5953

Framework versions

• Transformers 4.45.0
• Pytorch 2.4.1+cu121
• Datasets 3.0.1
• Tokenizers 0.20.0