Sentiment-Analysis-Model

This model is a fine-tuned version of distilbert-base-uncased 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	F1 Score
0.7461	0.5	500	0.7528	0.6523
0.6845	1.0	1000	0.6425	0.7132
0.5729	1.5	1500	0.6463	0.7415
0.5674	2.0	2000	0.6227	0.7304
0.41	2.5	2500	0.9091	0.7335
0.4017	3.0	3000	0.8304	0.7360
0.2691	3.5	3500	1.2177	0.7202
0.3128	4.0	4000	1.1197	0.7376
0.197	4.5	4500	1.2951	0.7341
0.1887	5.0	5000	1.4508	0.7239
0.11	5.5	5500	1.5447	0.7203
0.1462	6.0	6000	1.4909	0.7383
0.0907	6.5	6500	1.4809	0.7332
0.089	7.0	7000	1.7191	0.7244
0.0613	7.5	7500	1.7725	0.7294
0.0665	8.0	8000	1.8083	0.7290
0.0458	8.5	8500	1.8297	0.7346
0.0395	9.0	9000	1.8853	0.7304
0.0287	9.5	9500	1.9684	0.7273
0.0204	10.0	10000	1.9919	0.7308

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