roberta-base-ours-run-4

SkyR/roberta-base-ours-run-4

roberta-base-ours-run-4 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. --

Downloads · 30 days

1% of all-time downloads

All-time downloads

479

Public

Repo size

1.5 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin499 MB · 99%

At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: roberta
Access: Public
Created: Jan 12, 2023
Updated: Dec 20, 2023
SHA: 82fd7710

Try a prompt

Base models

Model card

From the Hugging Face model README

run-4

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

Loss: 2.6296
Accuracy: 0.685
Precision: 0.6248
Recall: 0.6164
F1: 0.6188

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
1.0195	1.0	50	0.8393	0.615	0.4126	0.5619	0.4606
0.7594	2.0	100	0.7077	0.7	0.6896	0.6663	0.6178
0.5515	3.0	150	0.9342	0.68	0.6334	0.5989	0.6016
0.3739	4.0	200	0.7755	0.735	0.7032	0.7164	0.7063
0.2648	5.0	250	0.9200	0.7	0.6584	0.6677	0.6611
0.1726	6.0	300	1.1898	0.71	0.6653	0.6550	0.6570
0.1452	7.0	350	1.5086	0.73	0.6884	0.6768	0.6812
0.0856	8.0	400	2.6159	0.68	0.6754	0.5863	0.5951
0.1329	9.0	450	1.9491	0.71	0.6692	0.6442	0.6463
0.0322	10.0	500	1.7897	0.74	0.6977	0.6939	0.6946
0.0345	11.0	550	1.9100	0.725	0.6827	0.6853	0.6781
0.026	12.0	600	2.5041	0.68	0.6246	0.6115	0.6137
0.0084	13.0	650	2.5343	0.715	0.6708	0.6617	0.6637
0.0145	14.0	700	2.4112	0.715	0.6643	0.6595	0.6614
0.0119	15.0	750	2.5303	0.705	0.6479	0.6359	0.6390
0.0026	16.0	800	2.6299	0.705	0.6552	0.6447	0.6455
0.0077	17.0	850	2.4044	0.715	0.6667	0.6576	0.6596
0.0055	18.0	900	2.8077	0.68	0.6208	0.6065	0.6098
0.0078	19.0	950	2.5608	0.68	0.6200	0.6104	0.6129
0.0018	20.0	1000	2.6296	0.685	0.6248	0.6164	0.6188

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