t5-base-extraction-cnndm_fs0.1-all

Zekunli/t5-base-extraction-cnndm_fs0.1-all

t5-base-extraction-cnndm_fs0.1-all is a machine learning model from Zekunli. 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: Jan 31, 2023
Updated: Feb 1, 2023
SHA: 95ac8352

Model card

From the Hugging Face model README

t5-base-extraction-cnndm_fs0.1-all

This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.7159

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: 64
eval_batch_size: 64
seed: 1799
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
2.2503	0.45	200	1.8495
1.9367	0.9	400	1.7930
1.8669	1.35	600	1.7704
1.8371	1.81	800	1.7481
1.8051	2.26	1000	1.7362
1.7843	2.71	1200	1.7345
1.7669	3.16	1400	1.7159
1.8786	3.61	1600	1.9442
2.0554	4.06	1800	1.9691
2.0521	4.51	2000	1.9731
2.0579	4.97	2200	1.9744
2.0514	5.42	2400	1.9743

Framework versions

Transformers 4.18.0
Pytorch 1.10.0+cu111
Datasets 2.5.1
Tokenizers 0.12.1

Library: transformers
Type: t5
License: apache-2.0
Created: Jan 31, 2023
Updated: Feb 1, 2023