metadata

base_model: microsoft/Phi-3.5-mini-instruct
datasets:
  - generator
library_name: peft
license: mit
tags:
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: Phi-3.5-baseline
    results: []

Phi-3.5-baseline

This model is a fine-tuned version of microsoft/Phi-3.5-mini-instruct on the generator dataset. It achieves the following results on the evaluation set:

Loss: 0.7926

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: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.03
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
0.7641	1.5238	500	0.7926

Framework versions

PEFT 0.13.2
Transformers 4.45.2
Pytorch 2.2.2+cu118
Datasets 3.0.1
Tokenizers 0.20.1