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iTroned/
early_fusion_sentiment_False_hate_speech_True_extra_layer_False

Name: early_fusion_sentiment_False_hate_speech_True_extra_layer_False
Availability: InStock

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early_fusion_sentiment_False_hate_speech_True_extra_layer_False

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

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The following hyperparameters were used during training:

learning_rate: 1e-05
train_batch_size: 8
eval_batch_size: 8
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: 1000

Training Loss	Epoch	Step	Validation Loss	Accuracy Offensive	F1 Offensive	Accuracy Targeted	F1 Targeted	Accuracy Stance	F1 Stance
0.7745	1.0	1324	0.7518	0.6545	0.5178	0.6545	0.5178	0.7009	0.5777
0.7283	2.0	2648	0.7200	0.6707	0.5609	0.6545	0.5178	0.7009	0.5777
0.7107	3.0	3972	0.6968	0.6956	0.6235	0.6881	0.6076	0.7009	0.5777
0.6931	4.0	5296	0.6902	0.6873	0.6022	0.6903	0.6196	0.7009	0.5778
0.6858	5.0	6620	0.6712	0.7115	0.6677	0.7066	0.6748	0.7096	0.6188
0.6793	6.0	7944	0.6731	0.7020	0.6346	0.7051	0.6531	0.7096	0.6133
0.6689	7.0	9268	0.6595	0.7307	0.7057	0.7183	0.6986	0.7085	0.6514
0.6681	8.0	10592	0.6605	0.7141	0.6597	0.7141	0.6719	0.7145	0.6324
0.658	9.0	11916	0.6548	0.7156	0.6645	0.7190	0.6793	0.7156	0.6364
0.6537	10.0	13240	0.6463	0.7368	0.7130	0.7258	0.7062	0.7183	0.6673
0.643	11.0	14564	0.6417	0.7398	0.7141	0.7304	0.7070	0.7205	0.6644
0.6512	12.0	15888	0.6397	0.7323	0.6974	0.7323	0.7040	0.7209	0.6572
0.6369	13.0	17212	0.6385	0.7553	0.7421	0.7273	0.7114	0.7134	0.6711
0.6354	14.0	18536	0.6349	0.7360	0.7105	0.7338	0.7081	0.7247	0.6695
0.6334	15.0	19860	0.6357	0.7557	0.7447	0.7270	0.7116	0.7156	0.6751
0.6215	16.0	21184	0.6375	0.7364	0.7039	0.7300	0.6972	0.7232	0.6583