roberta-suicide-detection-hk – AI Model by wcyat | AlphaNeural AI

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wcyat/
roberta-suicide-detection-hk

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text-classification

generated_from_trainer

FacebookAI/xlm-roberta-large

autotrain_compatible

endpoints_compatible

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roberta-suicide-detection-hk

This model is a fine-tuned version of FacebookAI/xlm-roberta-large on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1628
Accuracy: 0.9608

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: 2e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6783	0.19	20	0.5885	0.7451
0.7304	0.37	40	0.6978	0.7059
0.6086	0.56	60	0.4823	0.7255
0.5071	0.74	80	0.5564	0.7059
0.5933	0.93	100	0.5993	0.6667
0.6311	1.11	120	0.6531	0.7059
0.5867	1.3	140	0.6158	0.4510
0.6845	1.48	160	0.5851	0.7059
0.7479	1.67	180	0.6134	0.7059
0.573	1.85	200	0.5972	0.7059
0.6183	2.04	220	0.5631	0.7059
0.657	2.22	240	0.6166	0.7059
0.7293	2.41	260	0.5851	0.7059
0.6215	2.59	280	0.4603	0.7647
0.3509	2.78	300	0.6292	0.7647
0.3484	2.96	320	0.6770	0.8431
0.3279	3.15	340	0.1123	0.9608
0.4096	3.33	360	0.1380	0.9804
0.3626	3.52	380	0.4317	0.9216
0.2809	3.7	400	0.1681	0.9804
0.5547	3.89	420	0.1194	0.9804
0.3751	4.07	440	0.2943	0.9216
0.1131	4.26	460	0.0558	0.9804
0.182	4.44	480	0.1463	0.9608
0.2991	4.63	500	0.2800	0.9608
0.2471	4.81	520	0.2261	0.9608
0.1022	5.0	540	0.1628	0.9608

Framework versions

Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2