parsBERT_text_emotion_classification-finetuned-BMD-20241201_103841

This model is a fine-tuned version of Nhoseinnia/parsBERT_text_emotion_classification on an unknown dataset. It achieves the following results on the evaluation set:

Model description

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The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 30

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.1509	1.0	4	1.2847	0.5	0.5038
0.1209	2.0	8	1.2551	0.5882	0.5903
0.1129	3.0	12	1.4353	0.5294	0.5297
0.0882	4.0	16	1.9818	0.4412	0.4457
0.0856	5.0	20	1.7055	0.5294	0.5190
0.0337	6.0	24	1.9646	0.4706	0.4799
0.0292	7.0	28	2.3365	0.4412	0.4442
0.0254	8.0	32	2.1677	0.3824	0.3819
0.0127	9.0	36	2.5429	0.4118	0.4147
0.011	10.0	40	2.6179	0.4412	0.4466
0.0084	11.0	44	2.5994	0.4412	0.4455
0.0058	12.0	48	2.6673	0.5	0.5029
0.0089	13.0	52	2.6855	0.5	0.5040
0.0046	14.0	56	2.9154	0.4412	0.4416
0.0037	15.0	60	3.0083	0.4412	0.4416
0.0035	16.0	64	2.9644	0.4412	0.4416
0.0037	17.0	68	2.8735	0.4706	0.4671
0.0031	18.0	72	2.7300	0.5	0.4976
0.0028	19.0	76	2.8202	0.5	0.4976
0.0058	20.0	80	3.1716	0.4412	0.4471
0.0023	21.0	84	3.3853	0.4412	0.4471
0.0024	22.0	88	3.3990	0.4412	0.4416
0.0023	23.0	92	3.4125	0.4412	0.4416
0.0025	24.0	96	3.3417	0.4412	0.4471
0.0021	25.0	100	3.2096	0.4706	0.4671
0.002	26.0	104	3.1596	0.4706	0.4671
0.002	27.0	108	3.1351	0.4706	0.4671
0.002	28.0	112	3.1332	0.4706	0.4671
0.0022	29.0	116	3.1421	0.4706	0.4671
0.0021	30.0	120	3.1468	0.4706	0.4671