metadata

library_name: peft
license: other
base_model: microsoft/Phi-3.5-mini-instruct
tags:
  - llama-factory
  - lora
  - generated_from_trainer
model-index:
  - name: train_2024-11-18_128_256_01
    results: []

train_2024-11-18_128_256_01

This model is a fine-tuned version of microsoft/Phi-3.5-mini-instruct on the mydata14 dataset.

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: 0.0001
train_batch_size: 8
eval_batch_size: 2
seed: 42
distributed_type: multi-GPU
num_devices: 2
total_train_batch_size: 16
total_eval_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 2.0

Training results

Framework versions

PEFT 0.12.0
Transformers 4.45.0
Pytorch 2.5.1+cu124
Datasets 3.1.0
Tokenizers 0.20.3