flan-t5-large-finetuned-gsm8k

mrm8488/flan-t5-large-finetuned-gsm8k

flan-t5-large-finetuned-gsm8k is a machine learning model from mrm8488. 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 transformers. The card lists the license as apache-2.0.

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

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At a glance

Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: Nov 8, 2022
Updated: Mar 16, 2023
SHA: 8cdcf4b7

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Datasets

gsm8k

Model card

From the Hugging Face model README

flan-t5-large-finetuned-gsm8k

This model is a fine-tuned version of google/flan-t5-large on the gsm8k dataset. It achieves the following results on the evaluation set:

Loss: 0.3091
Rouge2 Precision: 0.4454
Rouge2 Recall: 0.0953
Rouge2 Fmeasure: 0.152

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: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge2 Precision	Rouge2 Recall	Rouge2 Fmeasure
0.34	1.0	3737	0.3206	0.4241	0.089	0.1423
0.2786	2.0	7474	0.3089	0.4334	0.0916	0.1463
0.247	3.0	11211	0.3074	0.4461	0.095	0.1515
0.2283	4.0	14948	0.3091	0.4454	0.0953	0.152

Framework versions

Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.6.1
Tokenizers 0.13.2

Library: transformers
Type: t5
License: apache-2.0
Created: Nov 8, 2022
Updated: Mar 16, 2023