t5-QG-2

Gayathri142214002/t5-QG-2

t5-QG-2 is a machine learning model from Gayathri142214002. 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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Hugging Face

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At a glance

Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: May 3, 2023
Updated: May 3, 2023
SHA: fdb5c21c

Model card

From the Hugging Face model README

t5-QG-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: 0.8743

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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 7

Training results

Training Loss	Epoch	Step	Validation Loss
2.4196	0.4	10	2.2206
1.8176	0.81	20	1.6716
1.4509	1.21	30	1.3951
1.1259	1.62	40	1.2469
0.8528	2.02	50	1.1312
0.8001	2.42	60	1.0782
0.7021	2.83	70	1.0161
0.6407	3.23	80	0.9279
0.5636	3.64	90	0.8877
0.633	4.04	100	0.8979
0.4598	4.44	110	0.8909
0.5543	4.85	120	0.8881
0.4215	5.25	130	0.8954
0.517	5.66	140	0.8753
0.4442	6.06	150	0.8747
0.4141	6.46	160	0.8743

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3

Library: transformers
Type: t5
License: apache-2.0
Created: May 3, 2023
Updated: May 3, 2023