roberta-base-ours-run-2

SkyR/roberta-base-ours-run-2

roberta-base-ours-run-2 is a text classification model from SkyR. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: roberta
Access: Public
Created: Jan 12, 2023
Updated: Dec 20, 2023
SHA: 3b628102

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Base models

Model card

From the Hugging Face model README

run-2

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

Loss: 2.1449
Accuracy: 0.75
Precision: 0.7115
Recall: 0.7093
F1: 0.7103

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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.9838	1.0	50	0.8621	0.645	0.6536	0.6130	0.6124
0.7134	2.0	100	0.8124	0.7	0.6628	0.6421	0.6483
0.4911	3.0	150	0.8571	0.7	0.6726	0.6314	0.6361
0.3104	4.0	200	0.8228	0.76	0.7298	0.7367	0.7294
0.1942	5.0	250	1.1132	0.76	0.7282	0.7031	0.7119
0.1409	6.0	300	1.2218	0.685	0.6516	0.6560	0.6524
0.0976	7.0	350	1.3648	0.715	0.6984	0.7044	0.6946
0.0791	8.0	400	1.5985	0.745	0.7183	0.7113	0.7124
0.0647	9.0	450	1.8884	0.725	0.6818	0.6761	0.6785
0.0275	10.0	500	1.8639	0.725	0.6979	0.7008	0.6958
0.0329	11.0	550	1.8831	0.72	0.6816	0.6869	0.6838
0.0169	12.0	600	2.1426	0.73	0.6864	0.6776	0.6794
0.0072	13.0	650	2.2483	0.725	0.7187	0.7054	0.6968
0.0203	14.0	700	2.2901	0.735	0.6986	0.6885	0.6921
0.0093	15.0	750	2.3134	0.725	0.6830	0.6666	0.6723
0.0089	16.0	800	2.1598	0.73	0.6919	0.6860	0.6885
0.0061	17.0	850	2.0879	0.75	0.7129	0.7132	0.7125
0.0024	18.0	900	2.1285	0.745	0.7062	0.7071	0.7049
0.0043	19.0	950	2.1386	0.74	0.7001	0.7003	0.6985
0.0028	20.0	1000	2.1449	0.75	0.7115	0.7093	0.7103

Framework versions

Transformers 4.25.1
Pytorch 1.13.1+cu116
Tokenizers 0.13.2

Task: Text Classification
Library: transformers
Type: roberta
License: mit
Created: Jan 12, 2023
Updated: Dec 20, 2023