You can deploy this model and start earning money today!

abubakar-muhammad/
xlm-roberta-base-finetuned-for-counterspeech-classification

Name: xlm-roberta-base-finetuned-for-counterspeech-classification
Availability: InStock

generated_from_trainer

cardiffnlp/twitter-xlm-roberta-base

finetune

autotrain_compatible

endpoints_compatible

Views

No views yet

results

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

Loss: 0.0439
Accuracy: 0.9918

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: 32
eval_batch_size: 32
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0336	1.0	1617	0.0633	0.9867
0.0015	2.0	3234	0.0439	0.9918

Framework versions

Transformers 4.48.3
Pytorch 2.6.0+cu124
Datasets 3.2.0
Tokenizers 0.21.0

abubakar-muhammad/xlm-roberta-base-finetuned-for-counterspeech-classification

results

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

abubakar-muhammad/
xlm-roberta-base-finetuned-for-counterspeech-classification