phucbruh
/

my-roberta-for-hateful-meme-classification

Text Classification

Generated from Trainer

text-embeddings-inference

Model card Files Files and versions

Metrics Training metrics Community

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

Downloads last month: 1

Safetensors

Model size

0.3B params

Tensor type

F32

·

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

Base model

FacebookAI/xlm-roberta-base

Finetuned

(3989)

this model

Dataset used to train phucbruh/my-roberta-for-hateful-meme-classification