hasoc19-xlm-roberta-base-targinsult1 – AI Model by SiddharthaM | AlphaNeural AI

You can deploy this model and start earning money today!

SiddharthaM/
hasoc19-xlm-roberta-base-targinsult1

like

0

text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

Views

No views yet

hasoc19-xlm-roberta-base-targinsult1

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

Loss: 0.7512
Accuracy: 0.7096
Precision: 0.6720
Recall: 0.6675
F1: 0.6695

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: 1e-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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
No log	1.0	263	0.5619	0.6996	0.6660	0.6717	0.6684
0.5931	2.0	526	0.5350	0.7239	0.6880	0.6576	0.6655
0.5931	3.0	789	0.5438	0.7239	0.6872	0.6644	0.6714
0.5101	4.0	1052	0.5595	0.7196	0.6866	0.6909	0.6886
0.5101	5.0	1315	0.5580	0.7186	0.6818	0.6743	0.6774
0.4313	6.0	1578	0.6000	0.7039	0.6679	0.6692	0.6686
0.4313	7.0	1841	0.6429	0.7082	0.6765	0.6841	0.6794
0.3591	8.0	2104	0.6626	0.7115	0.6772	0.6803	0.6786
0.3591	9.0	2367	0.7231	0.7139	0.6764	0.6700	0.6727
0.3016	10.0	2630	0.7512	0.7096	0.6720	0.6675	0.6695

Framework versions

Transformers 4.24.0.dev0
Pytorch 1.11.0+cu102
Datasets 2.6.1
Tokenizers 0.13.1