Regression_AlBERT_aug_MSEloss

This model is a fine-tuned version of albert-base-v2 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:

Training Loss	Epoch	Step	Validation Loss	Mse	Mae	R2	Accuracy
No log	1.0	263	0.2554	0.2554	0.3841	0.4041	0.6867
0.2379	2.0	526	0.1471	0.1471	0.2426	0.6568	0.86
0.2379	3.0	789	0.1189	0.1189	0.2212	0.7226	0.8633
0.0845	4.0	1052	0.1052	0.1052	0.2121	0.7546	0.8767
0.0845	5.0	1315	0.0913	0.0913	0.1642	0.7869	0.9067
0.0441	6.0	1578	0.0610	0.0610	0.1272	0.8577	0.9467
0.0441	7.0	1841	0.0594	0.0594	0.0965	0.8614	0.9433
0.0269	8.0	2104	0.0750	0.0750	0.1312	0.8249	0.93
0.0269	9.0	2367	0.0544	0.0544	0.0998	0.8731	0.95
0.0218	10.0	2630	0.0680	0.0680	0.1031	0.8413	0.93
0.0218	11.0	2893	0.0486	0.0486	0.1015	0.8867	0.9533
0.0141	12.0	3156	0.0582	0.0582	0.1056	0.8643	0.95
0.0141	13.0	3419	0.0494	0.0494	0.0832	0.8847	0.9533
0.0112	14.0	3682	0.0561	0.0561	0.0927	0.8690	0.9467
0.0112	15.0	3945	0.0576	0.0576	0.0833	0.8656	0.9467
0.0064	16.0	4208	0.0639	0.0639	0.0972	0.8509	0.9467
0.0064	17.0	4471	0.0657	0.0657	0.0971	0.8467	0.9367
0.0052	18.0	4734	0.0718	0.0718	0.0912	0.8325	0.94
0.0052	19.0	4997	0.0689	0.0689	0.0883	0.8392	0.94
0.0031	20.0	5260	0.0601	0.0601	0.0816	0.8598	0.9433