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iTroned/
offensive_baseline_v3_no_hs_noise

Name: offensive_baseline_v3_no_hs_noise
Availability: InStock

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offensive_baseline_v3_no_hs_noise

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: 6e-06
train_batch_size: 4
eval_batch_size: 4
seed: 1337
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: 30

Training Loss	Epoch	Step	Validation Loss	Accuracy Offensive	F1 Macro Offensive	F1 Weighted Offensive	F1 Macro Total	F1 Weighted Total
0.5257	1.0	3310	0.4185	0.8430	0.8099	0.8450	0.8099	0.8450
0.4793	2.0	6620	0.4056	0.8640	0.8337	0.8650	0.8337	0.8650
0.3522	3.0	9930	0.3964	0.8395	0.8145	0.8446	0.8145	0.8446
0.2353	4.0	13240	0.3046	0.8616	0.8347	0.8642	0.8347	0.8642
0.1684	5.0	16550	0.4063	0.8547	0.8240	0.8564	0.8240	0.8564
0.123	6.0	19860	0.5302	0.8651	0.8315	0.8648	0.8315	0.8648
0.0825	7.0	23170	0.5127	0.8779	0.8477	0.8777	0.8477	0.8777
0.0646	8.0	26480	0.7967	0.8430	0.8032	0.8423	0.8032	0.8423
0.0575	9.0	29790	0.6756	0.8488	0.8163	0.8505	0.8163	0.8505
0.0336	10.0	33100	0.8006	0.8698	0.8347	0.8684	0.8347	0.8684
0.0326	11.0	36410	0.6801	0.8733	0.8435	0.8737	0.8435	0.8737
0.0279	12.0	39720	0.6198	0.8698	0.8417	0.8712	0.8417	0.8712