T5-PEFT-2

jgibb/T5-PEFT-2

T5-PEFT-2 is a machine learning model from jgibb. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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Hugging Face

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At a glance

Library: peft
License: apache-2.0
Access: Public
Created: Apr 4, 2024
Updated: Apr 4, 2024
SHA: 356077a0

Base models

Model card

From the Hugging Face model README

T5-PEFT-2

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

Loss: 1.1705

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.18	250	1.3105
1.7303	0.35	500	1.2574
1.7303	0.53	750	1.2259
1.3176	0.71	1000	1.2101
1.3176	0.89	1250	1.2009
1.2971	1.06	1500	1.1895
1.2971	1.24	1750	1.1828
1.2582	1.42	2000	1.1804
1.2582	1.6	2250	1.1763
1.2579	1.77	2500	1.1730
1.2579	1.95	2750	1.1705

Framework versions

PEFT 0.10.0
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Library: peft
License: apache-2.0
Created: Apr 4, 2024
Updated: Apr 4, 2024