malayalam-bert-FakeNews-Dravidian-finalwithPP – AI Model by mdosama39 | AlphaNeural AI

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mdosama39/
malayalam-bert-FakeNews-Dravidian-finalwithPP

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text-classification

generated_from_trainer

l3cube-pune/malayalam-bert

autotrain_compatible

endpoints_compatible

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malayalam-bert-FakeNews-Dravidian-finalwithPP

This model is a fine-tuned version of l3cube-pune/malayalam-bert on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0597
Accuracy: 0.9890
Weighted f1 score: 0.9890
Macro f1 score: 0.9890

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: 16
eval_batch_size: 16
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	Weighted f1 score	Macro f1 score
0.879	1.0	255	0.6737	0.8417	0.8403	0.8403
0.5845	2.0	510	0.4242	0.9178	0.9178	0.9178
0.3641	3.0	765	0.2130	0.9656	0.9656	0.9656
0.2351	4.0	1020	0.1512	0.9681	0.9681	0.9681
0.1702	5.0	1275	0.0936	0.9816	0.9816	0.9816
0.109	6.0	1530	0.0734	0.9853	0.9853	0.9853
0.0904	7.0	1785	0.0670	0.9877	0.9877	0.9877
0.0692	8.0	2040	0.0600	0.9877	0.9877	0.9877
0.0468	9.0	2295	0.0612	0.9890	0.9890	0.9890
0.0471	10.0	2550	0.0597	0.9890	0.9890	0.9890

Framework versions

Transformers 4.35.0
Pytorch 2.0.0
Datasets 2.11.0
Tokenizers 0.14.1