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iTroned/
offensive_baseline_v4_no_hs

Name: offensive_baseline_v4_no_hs
Availability: InStock

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offensive_baseline_v4_no_hs

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
No log	1.0	165	0.6843	0.3590	0.2642	0.1897	0.2642	0.1897
No log	2.0	330	0.6528	0.7450	0.7344	0.7494	0.7344	0.7494
No log	3.0	495	0.5587	0.8094	0.8005	0.8124	0.8005	0.8124
0.6658	4.0	660	0.5008	0.8515	0.8327	0.8485	0.8327	0.8485
0.6658	5.0	825	0.4271	0.8523	0.8403	0.8526	0.8403	0.8526
0.6658	6.0	990	0.4437	0.8650	0.8518	0.8643	0.8518	0.8643
0.4371	7.0	1155	0.4925	0.8594	0.8485	0.8600	0.8485	0.8600
0.4371	8.0	1320	0.5504	0.8745	0.8611	0.8733	0.8611	0.8733
0.4371	9.0	1485	0.5630	0.8809	0.8684	0.8798	0.8684	0.8798
0.2383	10.0	1650	0.5054	0.8848	0.8754	0.8851	0.8754	0.8851
0.2383	11.0	1815	0.6044	0.8944	0.8833	0.8934	0.8833	0.8934
0.2383	12.0	1980	0.5683	0.8904	0.8817	0.8907	0.8817	0.8907
0.1304	13.0	2145	0.6175	0.8912	0.8801	0.8904	0.8801	0.8904
0.1304	14.0	2310	0.6118	0.8975	0.8882	0.8973	0.8882	0.8973
0.1304	15.0	2475	0.5862	0.8912	0.8833	0.8918	0.8833	0.8918
0.0491	16.0	2640	0.6402	0.8967	0.8877	0.8967	0.8877	0.8967
0.0491	17.0	2805	0.6707	0.8991	0.8904	0.8991	0.8904	0.8991
0.0491	18.0	2970	0.6814	0.8944	0.8859	0.8947	0.8859	0.8947
0.0282	19.0	3135	0.7070	0.8944	0.8855	0.8945	0.8855	0.8945
0.0282	20.0	3300	0.6408	0.8959	0.8886	0.8967	0.8886	0.8967
0.0282	21.0	3465	0.7214	0.8983	0.8890	0.8981	0.8890	0.8981
0.022	22.0	3630	0.7527	0.9031	0.8941	0.9028	0.8941	0.9028
0.022	23.0	3795	0.6935	0.8967	0.8885	0.8970	0.8885	0.8970
0.022	24.0	3960	0.7300	0.9015	0.8929	0.9015	0.8929	0.9015
0.0017	25.0	4125	0.7258	0.9015	0.8931	0.9016	0.8931	0.9016
0.0017	26.0	4290	0.7513	0.9007	0.8918	0.9005	0.8918	0.9005
0.0017	27.0	4455	0.7589	0.9007	0.8918	0.9005	0.8918	0.9005