bert-base-goemotions

This model is a fine-tuned version of bert-base-uncased on the go_emotions 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	F1	Roc Auc	Accuracy
0.0833	1.0	2714	0.0876	0.5453	0.7189	0.4243
0.0719	2.0	5428	0.0867	0.5586	0.7322	0.4399
0.0575	3.0	8142	0.0943	0.5736	0.7523	0.4665
0.0411	4.0	10856	0.1064	0.5655	0.7580	0.4574
0.0301	5.0	13570	0.1167	0.5622	0.7591	0.4517
0.0217	6.0	16284	0.1279	0.5579	0.7648	0.4375
0.015	7.0	18998	0.1367	0.5663	0.7759	0.4333
0.0102	8.0	21712	0.1445	0.5695	0.7793	0.4322
0.0077	9.0	24426	0.1491	0.5725	0.7795	0.4366
0.0057	10.0	27140	0.1539	0.5727	0.7796	0.4375

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