metadata

license: mit
library_name: peft
tags:
  - trl
  - sft
  - generated_from_trainer
base_model: microsoft/phi-2
model-index:
  - name: phi-2-basic-maths
    results: []
datasets:
  - gsm8k
metrics:
  - accuracy

phi-2-basic-maths

This model is a fine-tuned version of microsoft/phi-2 on an GSM8K dataset.

Model description

More information needed

Training procedure

The complete training procedure can be found on my Notebook.

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 0.0002
train_batch_size: 42
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 84
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 30

Training results

The training results can be found on Tensoboard.

Evaluation procedure

The complete Evaluation procedure can be found on my Notebook.

Framework versions

PEFT 0.8.2
Transformers 4.38.0.dev0
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1