metadata

license: apache-2.0
library_name: peft
tags:
  - generated_from_trainer
base_model: t5-base
model-index:
  - name: t5-base_PrefixTuning_lr5e-05_bs2_epoch1_wd0.01
    results: []

t5-base_PrefixTuning_lr5e-05_bs2_epoch1_wd0.01

This model is a fine-tuned version of t5-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.6029

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: 5e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.6424	1.0	314	0.6029

Framework versions

PEFT 0.7.1
Transformers 4.36.2
Pytorch 2.0.1
Datasets 2.16.1
Tokenizers 0.15.0