Training Loss	Epoch	Step	Validation Loss	Accuracy	B Acc	Prec	Recall	F1	Prec Joy	Recall Joy	F1 Joy	Prec Anger	Recall Anger	F1 Anger	Prec Disgust	Recall Disgust	F1 Disgust	Prec Fear	Recall Fear	F1 Fear	Prec Neutral	Recall Neutral	F1 Neutral	Prec Sadness	Recall Sadness	F1 Sadness	Prec Surprise	Recall Surprise	F1 Surprise
0.9538	0.15	232	0.8701	0.6961	0.4790	0.6837	0.6961	0.6837	0.7401	0.6381	0.6853	0.4622	0.5391	0.4977	0.25	0.0018	0.0035	0.5527	0.4292	0.4832	0.7965	0.8618	0.8279	0.5281	0.6431	0.5800	0.3562	0.2398	0.2866
0.7952	0.3	464	0.8010	0.7168	0.5242	0.7098	0.7168	0.7025	0.8084	0.5948	0.6853	0.5732	0.4710	0.5171	0.4713	0.2643	0.3387	0.6156	0.5263	0.5675	0.7405	0.9250	0.8226	0.6858	0.5676	0.6211	0.4448	0.3204	0.3725
0.7528	0.45	696	0.7560	0.7261	0.5878	0.7309	0.7261	0.7256	0.6969	0.7646	0.7292	0.5550	0.5534	0.5542	0.3409	0.4821	0.3994	0.7225	0.4842	0.5798	0.8476	0.8159	0.8314	0.6118	0.7027	0.6541	0.4957	0.3118	0.3828
0.7334	0.6	928	0.7310	0.7370	0.5868	0.7345	0.7370	0.7283	0.7170	0.7458	0.7311	0.7129	0.4116	0.5219	0.3727	0.5696	0.4506	0.6671	0.5626	0.6104	0.7898	0.8859	0.8351	0.7318	0.5844	0.6499	0.5252	0.3473	0.4181
0.7216	0.75	1160	0.7043	0.7448	0.6009	0.7403	0.7448	0.7389	0.7767	0.6826	0.7266	0.6159	0.5386	0.5746	0.5302	0.4393	0.4805	0.8023	0.5602	0.6598	0.7854	0.8926	0.8356	0.7005	0.632	0.6645	0.4815	0.4613	0.4712
0.7259	0.9	1392	0.6962	0.7475	0.6082	0.7433	0.7475	0.7412	0.7355	0.7586	0.7469	0.6758	0.4504	0.5405	0.3908	0.5589	0.4600	0.6939	0.6070	0.6475	0.8122	0.8744	0.8421	0.6830	0.6676	0.6752	0.5494	0.3409	0.4207
0.6362	1.05	1624	0.6771	0.7526	0.6055	0.7472	0.7526	0.7484	0.7392	0.7483	0.7437	0.5873	0.6191	0.6028	0.5302	0.3768	0.4405	0.7388	0.5789	0.6492	0.8213	0.8670	0.8435	0.7090	0.6507	0.6786	0.5301	0.3978	0.4545
0.621	1.2	1856	0.6779	0.7528	0.6120	0.7494	0.7528	0.7487	0.7107	0.7828	0.7450	0.6508	0.5913	0.6196	0.4980	0.4518	0.4738	0.7963	0.5532	0.6529	0.8165	0.8590	0.8372	0.7499	0.6236	0.6809	0.5078	0.4226	0.4613
0.6241	1.35	2088	0.6849	0.7513	0.6367	0.7526	0.7513	0.7514	0.7429	0.7592	0.7510	0.5795	0.6531	0.6141	0.4372	0.4661	0.4512	0.6462	0.6515	0.6488	0.8492	0.8372	0.8432	0.6887	0.6609	0.6745	0.5271	0.4290	0.4730
0.6188	1.5	2320	0.6713	0.7579	0.6159	0.7539	0.7579	0.7534	0.7071	0.7971	0.7494	0.6343	0.6267	0.6305	0.5877	0.3768	0.4592	0.7247	0.6281	0.6729	0.8361	0.8496	0.8428	0.6943	0.6693	0.6816	0.5919	0.3634	0.4504
0.6182	1.65	2552	0.6608	0.7601	0.6199	0.7567	0.7601	0.7566	0.7143	0.7891	0.7498	0.6163	0.6358	0.6259	0.5607	0.3875	0.4583	0.7591	0.6082	0.6753	0.8375	0.8578	0.8475	0.7324	0.6436	0.6851	0.5381	0.4172	0.4700
0.6392	1.8	2784	0.6542	0.7624	0.6261	0.7593	0.7624	0.7596	0.7513	0.7584	0.7548	0.5970	0.6708	0.6318	0.5711	0.3875	0.4617	0.7482	0.6152	0.6752	0.8379	0.8635	0.8505	0.7076	0.668	0.6872	0.5132	0.4194	0.4615
0.6158	1.95	3016	0.6456	0.7649	0.6279	0.7599	0.7649	0.7614	0.7490	0.7548	0.7519	0.6402	0.6378	0.6390	0.5314	0.4232	0.4712	0.7569	0.6117	0.6766	0.8310	0.8753	0.8526	0.7199	0.6627	0.6901	0.5063	0.4301	0.4651
0.554	2.1	3248	0.6742	0.7584	0.6346	0.7555	0.7584	0.7564	0.7293	0.7732	0.7506	0.6433	0.6430	0.6432	0.5031	0.4393	0.4690	0.7292	0.6363	0.6796	0.8347	0.8496	0.8421	0.7163	0.6587	0.6863	0.5049	0.4419	0.4713
0.5537	2.25	3480	0.6708	0.7633	0.6283	0.7604	0.7633	0.7605	0.7263	0.7801	0.7523	0.6304	0.6612	0.6455	0.5806	0.3732	0.4543	0.7486	0.6094	0.6718	0.8442	0.8528	0.8485	0.6982	0.692	0.6951	0.5356	0.4290	0.4764
0.5375	2.4	3712	0.6712	0.7606	0.6402	0.7592	0.7606	0.7595	0.7373	0.7709	0.7537	0.6245	0.6608	0.6421	0.4827	0.4482	0.4648	0.7319	0.6257	0.6747	0.8454	0.8474	0.8464	0.7006	0.6769	0.6885	0.5204	0.4516	0.4836
0.5175	2.55	3944	0.6625	0.7625	0.6369	0.7600	0.7625	0.7604	0.7422	0.7642	0.7530	0.6335	0.6526	0.6429	0.4481	0.4929	0.4694	0.7482	0.6187	0.6773	0.8374	0.8604	0.8488	0.7252	0.6684	0.6957	0.5321	0.4011	0.4574
0.5182	2.7	4176	0.6621	0.7631	0.6404	0.7602	0.7631	0.7612	0.7343	0.7766	0.7549	0.6491	0.6392	0.6441	0.4739	0.4536	0.4635	0.6784	0.6538	0.6659	0.8444	0.8529	0.8486	0.7109	0.684	0.6972	0.5458	0.4226	0.4764
0.5148	2.85	4408	0.6638	0.7637	0.6383	0.7598	0.7637	0.7612	0.7394	0.7741	0.7563	0.6741	0.6205	0.6462	0.5	0.4375	0.4667	0.6813	0.6550	0.6679	0.8400	0.8572	0.8485	0.6922	0.6916	0.6919	0.5296	0.4323	0.4760

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu117
Datasets 2.14.2
Tokenizers 0.13.3

emo-nlp/7-emo

train

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

emo-nlp/
7-emo