camembert-allocine

This model is a fine-tuned version of camembert-base on the allocine dataset. It achieves the following results on the evaluation set:

Model description

More information needed

More information needed

More information needed

The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.1276	0.2	500	0.1187	0.9623	0.9622	0.9462	0.9787
0.1013	0.4	1000	0.0917	0.9683	0.9675	0.9725	0.9625
0.1254	0.6	1500	0.0889	0.9701	0.9698	0.9597	0.9801
0.1004	0.8	2000	0.0792	0.9716	0.9709	0.9727	0.9691
0.1149	1.0	2500	0.0762	0.9727	0.9723	0.9673	0.9773
0.0574	1.2	3000	0.0849	0.9733	0.9729	0.9679	0.9780
0.0394	1.4	3500	0.1026	0.9718	0.9715	0.9595	0.9839
0.0401	1.6	4000	0.1065	0.9698	0.9697	0.9528	0.9872
0.0458	1.8	4500	0.0834	0.9744	0.9739	0.9715	0.9764
0.0554	2.0	5000	0.0873	0.9719	0.9717	0.9594	0.9844
0.0516	2.2	5500	0.0928	0.9754	0.9749	0.9723	0.9775
0.0355	2.4	6000	0.1017	0.9744	0.9741	0.9642	0.9842
0.0227	2.6	6500	0.0983	0.9748	0.9743	0.9729	0.9757
0.0359	2.8	7000	0.0990	0.9747	0.9743	0.9665	0.9823
0.0384	3.0	7500	0.1001	0.9746	0.9742	0.9662	0.9824

Loading…