xlm-roberta-base-FakeNews-Dravidian – AI Model by mdosama39 | AlphaNeural AI

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mdosama39/
xlm-roberta-base-FakeNews-Dravidian

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text-classification

generated_from_trainer

FacebookAI/xlm-roberta-base

autotrain_compatible

endpoints_compatible

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xlm-roberta-base-FakeNews-Dravidian

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: 0.3946
Accuracy: 0.8294
F1 score: 0.8290

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-06
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	F1 score
0.7232	1.0	204	0.6256	0.6933	0.6873
0.6287	2.0	408	0.5098	0.7644	0.7622
0.5506	3.0	612	0.4566	0.7902	0.7879
0.5029	4.0	816	0.4299	0.8086	0.8069
0.4766	5.0	1020	0.4153	0.8147	0.8138
0.4465	6.0	1224	0.4033	0.8233	0.8230
0.4333	7.0	1428	0.4053	0.8196	0.8186
0.4251	8.0	1632	0.4071	0.8209	0.8198
0.4203	9.0	1836	0.3987	0.8270	0.8264
0.4092	10.0	2040	0.3946	0.8294	0.8290

Framework versions

Transformers 4.35.0
Pytorch 2.0.0
Datasets 2.11.0
Tokenizers 0.14.1