google-t5-small

xshubhamx/google-t5-small

google-t5-small is a text classification model from xshubhamx. Use it when you need a label for a piece of text. 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

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: Apr 13, 2024
Updated: Apr 13, 2024
SHA: 60885709

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Base models

google-t5/t5-small

Model card

From the Hugging Face model README

google-t5-small

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: 0.9027
Accuracy: 0.7963
Precision: 0.7873
Recall: 0.7963
Precision Macro: 0.7130
Recall Macro: 0.7178
Macro Fpr: 0.0186
Weighted Fpr: 0.0179
Weighted Specificity: 0.9724
Macro Specificity: 0.9846
Weighted Sensitivity: 0.7963
Macro Sensitivity: 0.7178
F1 Micro: 0.7963
F1 Macro: 0.7139
F1 Weighted: 0.7913

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 15
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	Precision Macro	Recall Macro	Macro Fpr	Weighted Fpr	Weighted Specificity	Macro Specificity	Weighted Sensitivity	Macro Sensitivity	F1 Micro	F1 Macro	F1 Weighted
1.9743	1.0	643	1.2581	0.6197	0.5444	0.6197	0.2733	0.2987	0.0432	0.0420	0.9378	0.9705	0.6197	0.2987	0.6197	0.2816	0.5736
1.2712	2.0	1286	0.9250	0.7049	0.6888	0.7049	0.4124	0.4222	0.0296	0.0290	0.9631	0.9779	0.7049	0.4222	0.7049	0.3987	0.6876
0.9455	3.0	1929	0.8416	0.7312	0.7170	0.7312	0.4418	0.4789	0.0262	0.0256	0.9682	0.9800	0.7312	0.4789	0.7312	0.4515	0.7214
0.7104	4.0	2572	0.8019	0.7576	0.7395	0.7576	0.4638	0.5140	0.0232	0.0223	0.9695	0.9818	0.7576	0.5140	0.7576	0.4805	0.7460
0.642	5.0	3215	0.7784	0.7668	0.7539	0.7668	0.5402	0.5477	0.0220	0.0213	0.9703	0.9825	0.7668	0.5477	0.7668	0.5288	0.7578
0.5814	6.0	3858	0.7890	0.7800	0.7781	0.7800	0.6857	0.6053	0.0205	0.0197	0.9706	0.9834	0.7800	0.6053	0.7800	0.5979	0.7728
0.4982	7.0	4501	0.8016	0.7808	0.7758	0.7808	0.6895	0.6541	0.0202	0.0197	0.9723	0.9835	0.7808	0.6541	0.7808	0.6581	0.7762
0.4402	8.0	5144	0.8413	0.7862	0.7813	0.7862	0.6899	0.6867	0.0196	0.0191	0.9737	0.9840	0.7862	0.6867	0.7862	0.6828	0.7823
0.4405	9.0	5787	0.8244	0.7955	0.7848	0.7955	0.7088	0.7061	0.0188	0.0180	0.9719	0.9845	0.7955	0.7061	0.7955	0.7059	0.7898
0.397	10.0	6430	0.8535	0.8025	0.7928	0.8025	0.7169	0.7202	0.0179	0.0173	0.9731	0.9850	0.8025	0.7202	0.8025	0.7173	0.7972
0.3596	11.0	7073	0.8741	0.7940	0.7839	0.7940	0.7110	0.7174	0.0189	0.0182	0.9720	0.9844	0.7940	0.7174	0.7940	0.7126	0.7883
0.3343	12.0	7716	0.8837	0.7971	0.7883	0.7971	0.7123	0.7161	0.0185	0.0179	0.9730	0.9847	0.7971	0.7161	0.7971	0.7130	0.7922
0.3422	13.0	8359	0.8903	0.8002	0.7907	0.8002	0.7166	0.7201	0.0182	0.0175	0.9728	0.9849	0.8002	0.7201	0.8002	0.7168	0.7949
0.3264	14.0	9002	0.9004	0.7978	0.7890	0.7978	0.7140	0.7185	0.0184	0.0178	0.9727	0.9847	0.7978	0.7185	0.7978	0.7147	0.7929
0.3096	15.0	9645	0.9027	0.7963	0.7873	0.7963	0.7130	0.7178	0.0186	0.0179	0.9724	0.9846	0.7963	0.7178	0.7963	0.7139	0.7913

Framework versions

Transformers 4.38.2
Pytorch 2.1.2
Datasets 2.1.0
Tokenizers 0.15.2

Task: Text Classification
Library: transformers
Type: t5
License: apache-2.0
Created: Apr 13, 2024
Updated: Apr 13, 2024