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iTroned/
early_fusion_sentiment_True_hate_speech_False_extra_layer_False

Name: early_fusion_sentiment_True_hate_speech_False_extra_layer_False
Availability: InStock

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early_fusion_sentiment_True_hate_speech_False_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
0.7749	1.0	1324	0.7476	0.6545	0.5178	0.6545	0.5178	0.7009	0.5777
0.7179	2.0	2648	0.7035	0.6911	0.6029	0.6609	0.5326	0.7009	0.5777
0.6854	3.0	3972	0.6557	0.7232	0.6740	0.7251	0.6828	0.7028	0.5836
0.6539	4.0	5296	0.6435	0.7130	0.6442	0.7270	0.6749	0.7209	0.6329
0.637	5.0	6620	0.6033	0.7504	0.7128	0.7613	0.7312	0.7413	0.6786
0.6257	6.0	7944	0.6013	0.7436	0.6972	0.7621	0.7284	0.7440	0.6805
0.612	7.0	9268	0.5766	0.7825	0.7650	0.7851	0.7666	0.7489	0.7088
0.6053	8.0	10592	0.5653	0.7840	0.7610	0.7908	0.7662	0.7647	0.7166
0.5894	9.0	11916	0.5526	0.7723	0.7416	0.7987	0.7721	0.7632	0.7114
0.5787	10.0	13240	0.5415	0.8059	0.7932	0.8017	0.7807	0.7715	0.7266
0.58	11.0	14564	0.5382	0.7946	0.7746	0.8044	0.7836	0.7742	0.7290
0.5828	12.0	15888	0.5302	0.7953	0.7759	0.8100	0.7859	0.7696	0.7196
0.5656	13.0	17212	0.5292	0.8176	0.8086	0.8070	0.7894	0.7768	0.7380
0.5602	14.0	18536	0.5215	0.8078	0.7932	0.8100	0.7888	0.7753	0.7321
0.5623	15.0	19860	0.5133	0.8206	0.8112	0.8138	0.7940	0.7787	0.7370
0.5465	16.0	21184	0.5286	0.8044	0.7873	0.8093	0.7842	0.7772	0.7276
0.5624	17.0	22508	0.5027	0.8312	0.8222	0.8206	0.7992	0.7881	0.7426
0.5416	18.0	23832	0.5235	0.8063	0.7896	0.8066	0.7815	0.7783	0.7285
0.5442	19.0	25156	0.5141	0.8142	0.8001	0.8089	0.7841	0.7825	0.7306