RoBERTa_Offensive_English_Twitter – AI Model by christinacdl | AlphaNeural AI

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RoBERTa_Offensive_English_Twitter

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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RoBERTa_Offensive_English_Twitter

This model is a fine-tuned version of roberta-large on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.2833
Macro F1: 0.9212
Micro F1: 0.9251
Accuracy: 0.9251

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-05
train_batch_size: 8
eval_batch_size: 10
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Macro F1	Micro F1	Accuracy
0.2991	1.0	4036	0.2859	0.8965	0.9007	0.9007
0.2573	2.0	8073	0.3038	0.9018	0.9053	0.9053
0.2005	3.0	12109	0.2800	0.9137	0.9174	0.9174
0.1617	4.0	16144	0.2833	0.9212	0.9251	0.9251

Framework versions

Transformers 4.27.1
Pytorch 2.0.1+cu118
Datasets 2.9.0
Tokenizers 0.13.3