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iTroned/
self_iterative_v2_stance_iteration_1

Name: self_iterative_v2_stance_iteration_1
Availability: InStock

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self_iterative_v2_stance_iteration_1

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 Stance	F1 Macro Stance	F1 Weighted Stance	F1 Macro Total	F1 Weighted Total
0.6645	1.0	5768	1.2142	0.7607	0.6174	0.7398	0.6174	0.7398
0.5312	2.0	11536	1.6960	0.7443	0.5711	0.7175	0.5711	0.7175
0.4532	3.0	17304	1.9074	0.7410	0.6212	0.7350	0.6212	0.7350
0.2656	4.0	23072	2.1017	0.7246	0.6311	0.7204	0.6311	0.7204
0.1797	5.0	28840	2.5993	0.7344	0.6201	0.7286	0.6201	0.7286
0.1205	6.0	34608	2.8422	0.6852	0.5863	0.6969	0.5863	0.6969
0.1367	7.0	40376	3.0302	0.7475	0.6271	0.7366	0.6271	0.7366
0.0892	8.0	46144	3.6116	0.7246	0.6159	0.7228	0.6159	0.7228
0.0685	9.0	51912	3.4465	0.7541	0.6518	0.7438	0.6518	0.7438
0.0315	10.0	57680	3.3509	0.7410	0.6159	0.7276	0.6159	0.7276
0.0193	11.0	63448	3.9765	0.7344	0.6277	0.7234	0.6277	0.7234
0.0346	12.0	69216	4.3594	0.7148	0.6124	0.7122	0.6124	0.7122
0.0354	13.0	74984	4.0731	0.6951	0.5815	0.6921	0.5815	0.6921
0.0379	14.0	80752	4.1163	0.7180	0.6052	0.7136	0.6052	0.7136