metadata

license: mit
library_name: peft
tags:
  - choo-choo
  - trl
  - sft
  - generated_from_trainer
  - trl
  - sft
  - generated_from_trainer
datasets:
  - generator
base_model: microsoft/phi-2
model-index:
  - name: phi-2-disticoder-v0.1
    results: []

phi-2-disticoder-v0.1

This model is a fine-tuned version of microsoft/phi-2 on the argilla/DistiCoder-dpo-binarized 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: 2.5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
training_steps: 100

Training results

Framework versions

PEFT 0.8.2
Transformers 4.37.2
Pytorch 2.1.1+cu121
Datasets 2.16.1
Tokenizers 0.15.1