metadata

base_model: microsoft/Phi-3-mini-128k-instruct
datasets:
  - generator
library_name: peft
license: mit
tags:
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: diaratechHf_llamac7aa724a-06ed-431b-b6ca-729fe8735272
    results: []

diaratechHf_llamac7aa724a-06ed-431b-b6ca-729fe8735272

This model is a fine-tuned version of microsoft/Phi-3-mini-128k-instruct on the generator 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: 0.0002
train_batch_size: 4
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
training_steps: 2

Training results

Framework versions

PEFT 0.10.0
Transformers 4.39.3
Pytorch 2.3.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2