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MatteoFasulo/
twitter-roberta-base-hate_42

Name: twitter-roberta-base-hate_42
Availability: InStock

generated_from_trainer

cardiffnlp/twitter-roberta-base-hate

finetune

autotrain_compatible

endpoints_compatible

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twitter-roberta-base-hate_42

This model is a fine-tuned version of cardiffnlp/twitter-roberta-base-hate on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.4071
F1-score: 0.8447
Accuracy: 0.8462
Precision: 0.8436
Recall: 0.8465

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-06
train_batch_size: 16
eval_batch_size: 16
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
num_epochs: 6

Training results

Training Loss	Epoch	Step	Validation Loss	F1-score	Accuracy	Precision	Recall
No log	1.0	180	0.3830	0.8243	0.8252	0.8241	0.8286
No log	2.0	360	0.3669	0.8312	0.8322	0.8305	0.8348
0.3605	3.0	540	0.3820	0.8246	0.8252	0.8256	0.8303
0.3605	4.0	720	0.3968	0.8410	0.8427	0.8401	0.8425
0.3605	5.0	900	0.4079	0.8408	0.8427	0.8401	0.8417
0.2446	6.0	1080	0.4071	0.8447	0.8462	0.8436	0.8465

Framework versions

Transformers 4.47.1
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0

MatteoFasulo/twitter-roberta-base-hate_42

twitter-roberta-base-hate_42

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

MatteoFasulo/
twitter-roberta-base-hate_42