metadata

library_name: transformers
license: other
base_model: meta-llama/Llama-3.2-3B-Instruct
tags:
  - llama-factory
  - full
  - generated_from_trainer
model-index:
  - name: sft2
    results: []

sft2

This model is a fine-tuned version of meta-llama/Llama-3.2-3B-Instruct on the train dataset. It achieves the following results on the evaluation set:

Loss: 0.2533

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: 1
seed: 42
distributed_type: multi-GPU
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.1653	1.5432	500	0.2352

Framework versions

Transformers 4.45.0
Pytorch 2.4.0
Datasets 2.21.0
Tokenizers 0.20.0