qm_sum_t5-base

iamanavk/qm_sum_t5-base

qm_sum_t5-base is a machine learning model from iamanavk. 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: May 22, 2023
Updated: May 22, 2023
SHA: 4429b42f

Model card

From the Hugging Face model README

qm_sum_t5-base

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

Loss: 3.2091
Rouge1: 0.2135
Rouge2: 0.0626
Rougel: 0.1688
Rougelsum: 0.1689
Gen Len: 19.0

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	79	3.2969	0.2065	0.0591	0.1623	0.1621	18.9926
No log	2.0	158	3.2175	0.2173	0.067	0.1725	0.1725	19.0
No log	3.0	237	3.1909	0.2149	0.064	0.1716	0.1718	19.0
No log	4.0	316	3.2091	0.2135	0.0626	0.1688	0.1689	19.0

Framework versions

Transformers 4.28.1
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3

Library: transformers
Type: t5
License: apache-2.0
Created: May 22, 2023
Updated: May 22, 2023