metadata

license: apache-2.0
base_model: distilgpt2
tags:
  - generated_from_trainer
model-index:
  - name: distilgpt2-alpaca-instruction-fine-tuning-qlora
    results: []

distilgpt2-alpaca-instruction-fine-tuning-qlora

This model is a fine-tuned version of distilgpt2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.7285

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: 0.0005
train_batch_size: 24
eval_batch_size: 24
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 1000
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
3.3117	0.66	1000	2.7285

Framework versions

Transformers 4.33.3
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3