metadata

base_model: microsoft/Phi-3-mini-128k-instruct
library_name: peft
license: mit
tags:
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: phi-3-mini-LoRA
    results: []

phi-3-mini-LoRA

This model is a fine-tuned version of microsoft/Phi-3-mini-128k-instruct on the None dataset. It achieves the following results on the evaluation set:

eval_loss: 0.3813
eval_runtime: 140.2175
eval_samples_per_second: 15.74
eval_steps_per_second: 7.873
epoch: 0.16
step: 400

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: 1
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 2
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3

Framework versions

PEFT 0.8.2
Transformers 4.38.0
Pytorch 2.2.1
Datasets 2.17.0
Tokenizers 0.15.2