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AmirlyPhd/
offensive_Bert_after_IEEE_reviwer

Name: offensive_Bert_after_IEEE_reviwer
Rating: 2.5 (8 reviews)

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finetuned_bert

This model is a fine-tuned version of AmirlyPhd/final_final_bert_model_with_dynamic_resampling on the None dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 16
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
num_epochs: 10

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.2262	1.0	104	1.3268	0.6757	0.6999	0.6757	0.6815
0.4549	2.0	208	0.7178	0.6865	0.7011	0.6865	0.6910
0.2922	3.0	312	0.8297	0.6973	0.6921	0.6973	0.6940
0.2039	4.0	416	1.1670	0.6811	0.7035	0.6811	0.6867
0.147	5.0	520	1.3645	0.6595	0.6678	0.6595	0.6627
0.1551	6.0	624	1.6947	0.6324	0.6511	0.6324	0.6382
0.086	7.0	728	1.9108	0.6649	0.6744	0.6649	0.6684
0.0706	8.0	832	1.8700	0.6919	0.6891	0.6919	0.6903
0.0556	9.0	936	1.9929	0.6865	0.6932	0.6865	0.6891
0.016	10.0	1040	2.0539	0.6865	0.6932	0.6865	0.6891