Training: The model has been trained using the script provided in the following repository https://github.com/MorenoLaQuatra/transformers-tasks-templates

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

Model description

More information needed

Intended uses & limitations

More information needed

More information needed

The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.2776	1.0	500	0.2954	0.9	0.8957	0.9031	0.9
0.1887	2.0	1000	0.1716	0.934	0.9344	0.9370	0.934
0.119	3.0	1500	0.1614	0.9345	0.9342	0.9377	0.9345
0.1001	4.0	2000	0.2018	0.936	0.9353	0.9359	0.936
0.0704	5.0	2500	0.1925	0.935	0.9349	0.9354	0.935
0.0471	6.0	3000	0.2369	0.938	0.9373	0.9377	0.938
0.0322	7.0	3500	0.2693	0.938	0.9382	0.9392	0.938
0.0137	8.0	4000	0.2926	0.937	0.9371	0.9372	0.937
0.0099	9.0	4500	0.2964	0.9365	0.9362	0.9362	0.9365
0.0114	10.0	5000	0.3044	0.935	0.9349	0.9350	0.935