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Chahnwoo/
distilbert_dair-ai_emotion_20240730_e20

Name: distilbert_dair-ai_emotion_20240730_e20
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distilbert_dair-ai_emotion_20240730_e20

This model is a fine-tuned version of distilbert/distilbert-base-uncased on the dair-ai/emotion dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	250	0.2532	0.9165
0.4835	2.0	500	0.1618	0.936
0.4835	3.0	750	0.1718	0.93
0.1165	4.0	1000	0.1586	0.936
0.1165	5.0	1250	0.1555	0.935
0.076	6.0	1500	0.1650	0.937
0.076	7.0	1750	0.1728	0.938
0.0492	8.0	2000	0.2108	0.9325
0.0492	9.0	2250	0.2151	0.935
0.0304	10.0	2500	0.2433	0.9365
0.0304	11.0	2750	0.2350	0.9375
0.0238	12.0	3000	0.2653	0.939
0.0238	13.0	3250	0.2603	0.9405
0.0153	14.0	3500	0.2701	0.9375
0.0153	15.0	3750	0.2661	0.94
0.013	16.0	4000	0.2698	0.941
0.013	17.0	4250	0.2826	0.9385
0.0099	18.0	4500	0.2727	0.9415
0.0099	19.0	4750	0.2833	0.9415
0.007	20.0	5000	0.2862	0.942