email_extractor_model_t5_small

cmtn/email_extractor_model_t5_small

email_extractor_model_t5_small is a machine learning model from cmtn. 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: Dec 1, 2023
Updated: Dec 1, 2023
SHA: 0a27d0a5

Base models

Model card

From the Hugging Face model README

email_extractor_model_t5_small

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

Loss: 0.4229
Rouge1: 0.5575
Rouge2: 0.5065
Rougel: 0.5473
Rougelsum: 0.5532
Gen Len: 18.9697

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: 2e-05
train_batch_size: 10
eval_batch_size: 10
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	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	13	0.5638	0.3419	0.2711	0.3208	0.3224	19.0
No log	2.0	26	0.4783	0.4679	0.4041	0.4451	0.446	18.9697
No log	3.0	39	0.4356	0.5394	0.4872	0.5262	0.529	18.9697
No log	4.0	52	0.4229	0.5575	0.5065	0.5473	0.5532	18.9697

Framework versions

Transformers 4.35.2
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.14.1

Library: transformers
Type: t5
License: apache-2.0
Created: Dec 1, 2023
Updated: Dec 1, 2023