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iTroned/
noise_test_v1_no_model

Name: noise_test_v1_no_model
Availability: InStock

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noise_test_v1_no_model

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: 20

Training Loss	Epoch	Step	Validation Loss	Accuracy Offensive	F1 Offensive	Accuracy Targeted	F1 Targeted	Accuracy Stance	F1 Stance
0.7441	1.0	1324	0.6579	0.8097	0.7856	0.6545	0.5178	0.7009	0.5777
0.5043	2.0	2648	0.3977	0.8920	0.8862	0.9252	0.9031	0.8769	0.8310
0.4323	3.0	3972	0.3412	0.8984	0.8934	0.9271	0.9050	0.8773	0.8326
0.3849	4.0	5296	0.3199	0.9052	0.9010	0.9313	0.9091	0.8746	0.8312
0.3679	5.0	6620	0.3025	0.9124	0.9088	0.9298	0.9075	0.8731	0.8299
0.3667	6.0	7944	0.2990	0.9169	0.9138	0.9313	0.9091	0.8773	0.8336
0.3557	7.0	9268	0.2924	0.9177	0.9147	0.9301	0.9079	0.8754	0.8316
0.3384	8.0	10592	0.2854	0.9230	0.9206	0.9305	0.9083	0.8754	0.8326
0.3293	9.0	11916	0.2838	0.9252	0.9229	0.9282	0.9061	0.8776	0.8335
0.3251	10.0	13240	0.2759	0.9260	0.9236	0.9320	0.9098	0.8769	0.8335
0.3153	11.0	14564	0.2676	0.9294	0.9273	0.9305	0.9083	0.8758	0.8327
0.3267	12.0	15888	0.2619	0.9309	0.9289	0.9335	0.9114	0.8826	0.8388
0.3093	13.0	17212	0.2713	0.9256	0.9234	0.9316	0.9094	0.8761	0.8326
0.3115	14.0	18536	0.2655	0.9286	0.9266	0.9298	0.9076	0.8735	0.8304