t5-small-ChnSentiCorp

hupenc/t5-small-ChnSentiCorp

t5-small-ChnSentiCorp is a machine learning model from hupenc. 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: Feb 16, 2024
Updated: Feb 16, 2024
SHA: 583d02c7

Base models

google-t5/t5-small

Model card

From the Hugging Face model README

t5-small-ChnSentiCorp

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

Loss: 0.3179
Accuracy: 0.6307

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: 6

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.4951	1.0	552	0.3255	0.6033
0.3405	2.0	1104	0.3224	0.6081
0.332	3.0	1656	0.3244	0.6067
0.3285	4.0	2208	0.3179	0.6307
0.3248	5.0	2760	0.3195	0.6287
0.3203	6.0	3312	0.3194	0.6301

Framework versions

Transformers 4.37.2
Pytorch 2.1.2
Datasets 2.17.0
Tokenizers 0.15.1

Library: transformers
Type: t5
License: apache-2.0
Created: Feb 16, 2024
Updated: Feb 16, 2024