my-roberta-for-hateful-meme-classification – AI Model by phucbruh | AlphaNeural AI

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phucbruh/
my-roberta-for-hateful-meme-classification

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text-classification

generated_from_trainer

limjiayi/hateful_memes_expanded

FacebookAI/xlm-roberta-base

autotrain_compatible

endpoints_compatible

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my-roberta-for-hateful-meme-classification

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

Loss: 0.6894

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
0.5181	1.0	806	0.7357
0.5235	2.0	1612	0.7480
0.4906	3.0	2418	0.7239
0.4673	4.0	3224	0.7252
0.4678	5.0	4030	0.6894
0.4481	6.0	4836	0.7794
0.4038	7.0	5642	0.7926
0.3052	8.0	6448	0.9150
0.2344	9.0	7254	1.1734
0.271	10.0	8060	1.1404

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.0
Tokenizers 0.19.1