roberta-base-ours-run-3

SkyR/roberta-base-ours-run-3

roberta-base-ours-run-3 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: efc36b5b

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Base models

Model card

From the Hugging Face model README

run-3

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

Loss: 2.4223
Accuracy: 0.75
Precision: 0.7128
Recall: 0.6998
F1: 0.7043

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
1.0025	1.0	50	0.8925	0.63	0.6703	0.5704	0.5060
0.8187	2.0	100	0.7915	0.595	0.6007	0.5926	0.5344
0.5671	3.0	150	0.9573	0.695	0.6520	0.6350	0.6380
0.3218	4.0	200	0.9195	0.68	0.6447	0.6539	0.6461
0.2208	5.0	250	1.2429	0.715	0.6801	0.6617	0.6663
0.1614	6.0	300	1.5295	0.71	0.6736	0.6543	0.6423
0.1129	7.0	350	2.1055	0.71	0.6779	0.6413	0.6511
0.098	8.0	400	1.9579	0.705	0.6697	0.6558	0.6601
0.0479	9.0	450	2.0535	0.72	0.6794	0.6663	0.6711
0.0173	10.0	500	2.5381	0.7	0.6838	0.6604	0.6608
0.0308	11.0	550	2.4592	0.735	0.7014	0.6851	0.6901
0.0265	12.0	600	2.3131	0.725	0.6910	0.6845	0.6849
0.016	13.0	650	2.4025	0.74	0.7035	0.6915	0.6949
0.013	14.0	700	2.3933	0.745	0.7070	0.6831	0.6909
0.016	15.0	750	2.6819	0.725	0.7006	0.6738	0.6759
0.0126	16.0	800	2.3679	0.74	0.7050	0.6839	0.6898
0.0023	17.0	850	2.5252	0.745	0.7119	0.6880	0.6933
0.01	18.0	900	2.5598	0.74	0.7056	0.6828	0.6906
0.0093	19.0	950	2.4353	0.745	0.7057	0.6922	0.6974
0.0039	20.0	1000	2.4223	0.75	0.7128	0.6998	0.7043

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