lora-roberta-large-fine-emo

This model is a fine-tuned version of roberta-large on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.7876
• Accuracy: 0.7175
• Prec: 0.6298
• Recall: 0.5922
• F1: 0.6045
• B Acc: 0.5922
• Prec Joy: 0.6497
• Recall Joy: 0.7540
• F1 Joy: 0.6980
• Prec Anger: 0.6146
• Recall Anger: 0.6435
• F1 Anger: 0.6287
• Prec Disgust: 0.4805
• Recall Disgust: 0.4393
• F1 Disgust: 0.4590
• Prec Fear: 0.6954
• Recall Fear: 0.5953
• F1 Fear: 0.6415
• Prec Neutral: 0.8410
• Recall Neutral: 0.8250
• F1 Neutral: 0.8329
• Prec Sadness: 0.6719
• Recall Sadness: 0.6124
• F1 Sadness: 0.6408
• Prec Surprise: 0.5377
• Recall Surprise: 0.4215
• F1 Surprise: 0.4726
• Prec Amusement: 0.7297
• Recall Amusement: 0.8284
• F1 Amusement: 0.7759
• Prec Anxiety: 0.4420
• Recall Anxiety: 0.4896
• F1 Anxiety: 0.4646
• Prec Guilt: 0.7911
• Recall Guilt: 0.7740
• F1 Guilt: 0.7824
• Prec Love: 0.6545
• Recall Love: 0.5996
• F1 Love: 0.6259
• Prec Optimism: 0.7228
• Recall Optimism: 0.5915
• F1 Optimism: 0.6506
• Prec Pessimism: 0.3571
• Recall Pessimism: 0.125
• F1 Pessimism: 0.1852

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 0.0001
• train_batch_size: 128
• eval_batch_size: 64
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.05
• num_epochs: 20.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Prec	Recall	F1	B Acc	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	Prec Amusement	Recall Amusement	F1 Amusement	Prec Anxiety	Recall Anxiety	F1 Anxiety	Prec Guilt	Recall Guilt	F1 Guilt	Prec Love	Recall Love	F1 Love	Prec Optimism	Recall Optimism	F1 Optimism	Prec Pessimism	Recall Pessimism	F1 Pessimism
1.0157	1.0	1756	0.9691	0.6663	0.5337	0.5038	0.5122	0.5038	0.6173	0.6805	0.6474	0.5681	0.4796	0.5201	0.4619	0.3893	0.4225	0.6567	0.4117	0.5061	0.8134	0.8269	0.8201	0.5633	0.56	0.5616	0.4613	0.3204	0.3782	0.6554	0.7657	0.7062	0.3637	0.5292	0.4311	0.7048	0.6130	0.6557	0.4626	0.5186	0.4890	0.6092	0.4538	0.5202	0.0	0.0	0.0
0.9186	2.0	3512	0.8979	0.6873	0.5497	0.5388	0.5376	0.5388	0.6239	0.7230	0.6698	0.5644	0.5817	0.5729	0.4373	0.4357	0.4365	0.5923	0.5743	0.5831	0.8235	0.8298	0.8266	0.6103	0.5373	0.5715	0.5451	0.2796	0.3696	0.5699	0.8746	0.6901	0.4437	0.4174	0.4302	0.7510	0.6872	0.7177	0.5687	0.5129	0.5393	0.6165	0.5509	0.5818	0.0	0.0	0.0
0.8686	3.0	5268	0.8550	0.6993	0.5880	0.5603	0.5700	0.5603	0.6758	0.6879	0.6818	0.5462	0.6339	0.5868	0.4386	0.4339	0.4363	0.6578	0.5485	0.5982	0.8159	0.8431	0.8293	0.6360	0.5707	0.6015	0.4874	0.3753	0.4241	0.6702	0.8251	0.7396	0.4647	0.4431	0.4537	0.8147	0.6600	0.7293	0.5840	0.5634	0.5735	0.6426	0.5994	0.6202	0.2105	0.1	0.1356
0.8386	4.0	7024	0.8276	0.7080	0.6131	0.5607	0.5805	0.5607	0.6812	0.6885	0.6848	0.6102	0.5716	0.5903	0.4691	0.4339	0.4508	0.6514	0.5813	0.6143	0.7868	0.8752	0.8286	0.6617	0.5702	0.6126	0.5489	0.3441	0.4230	0.7143	0.8251	0.7657	0.4824	0.4481	0.4646	0.7817	0.7251	0.7523	0.6292	0.5500	0.5870	0.6866	0.5759	0.6264	0.2667	0.1	0.1455
0.8125	5.0	8780	0.8200	0.7102	0.6011	0.5845	0.5887	0.5845	0.6745	0.7044	0.6891	0.6341	0.5779	0.6047	0.4914	0.4071	0.4453	0.7038	0.5836	0.6381	0.8196	0.8475	0.8333	0.6499	0.5858	0.6162	0.4950	0.4237	0.4565	0.6650	0.8845	0.7592	0.4218	0.5361	0.4721	0.7771	0.7251	0.7502	0.6509	0.5777	0.6121	0.6140	0.6197	0.6168	0.2174	0.125	0.1587
0.7981	6.0	10536	0.8111	0.7131	0.5989	0.5719	0.5793	0.5719	0.6839	0.6987	0.6912	0.6277	0.6090	0.6182	0.5151	0.3964	0.4480	0.6894	0.6023	0.6429	0.8023	0.8626	0.8313	0.7311	0.5231	0.6098	0.5577	0.3688	0.4440	0.6710	0.8548	0.7518	0.4138	0.5697	0.4794	0.8109	0.7288	0.7676	0.5881	0.6301	0.6084	0.6943	0.5900	0.6379	0.0	0.0	0.0
0.7883	7.0	12292	0.8049	0.7133	0.6065	0.5998	0.6008	0.5998	0.6620	0.7362	0.6971	0.6193	0.6080	0.6136	0.4283	0.4911	0.4576	0.6456	0.6199	0.6325	0.8404	0.8292	0.8348	0.6721	0.5849	0.6255	0.5047	0.4075	0.4509	0.7096	0.8548	0.7754	0.4352	0.5114	0.4702	0.7722	0.7541	0.7630	0.6345	0.6072	0.6206	0.7111	0.5931	0.6468	0.25	0.2	0.2222
0.7724	8.0	14048	0.7981	0.7174	0.6296	0.5832	0.5941	0.5832	0.6869	0.7086	0.6976	0.6292	0.6277	0.6284	0.5897	0.3696	0.4544	0.6136	0.6538	0.6331	0.8224	0.8514	0.8367	0.6859	0.5716	0.6235	0.5257	0.4075	0.4591	0.7333	0.7987	0.7646	0.4078	0.5618	0.4725	0.7782	0.7740	0.7761	0.6324	0.6101	0.6211	0.7046	0.5712	0.6309	0.375	0.075	0.1250
0.7644	9.0	15804	0.7984	0.7155	0.6223	0.5727	0.5888	0.5727	0.6514	0.7481	0.6964	0.6069	0.6473	0.6265	0.5131	0.4196	0.4617	0.6629	0.6234	0.6426	0.8348	0.8311	0.8329	0.6112	0.6533	0.6316	0.5514	0.3806	0.4504	0.7335	0.8086	0.7692	0.4865	0.3749	0.4235	0.8020	0.7396	0.7695	0.6567	0.5891	0.6211	0.7298	0.5790	0.6457	0.25	0.05	0.0833
0.7531	10.0	17560	0.7929	0.7181	0.6020	0.5761	0.5853	0.5761	0.6524	0.7454	0.6958	0.6170	0.6291	0.6230	0.5325	0.3804	0.4437	0.6675	0.6222	0.6441	0.8269	0.8428	0.8348	0.6892	0.5924	0.6372	0.5144	0.4215	0.4634	0.6939	0.8680	0.7713	0.4655	0.4402	0.4525	0.7802	0.7703	0.7753	0.6405	0.6149	0.6274	0.7464	0.5618	0.6411	0.0	0.0	0.0
0.7462	11.0	19316	0.7868	0.7187	0.6001	0.5776	0.5861	0.5776	0.6634	0.7412	0.7001	0.6197	0.6425	0.6309	0.4802	0.4125	0.4438	0.6403	0.6246	0.6323	0.8266	0.8413	0.8339	0.6714	0.6067	0.6374	0.5649	0.3978	0.4669	0.7096	0.8548	0.7754	0.4643	0.4688	0.4665	0.7973	0.7468	0.7712	0.6703	0.5815	0.6228	0.6930	0.5900	0.6374	0.0	0.0	0.0
0.7357	12.0	21072	0.7876	0.7175	0.6298	0.5922	0.6045	0.5922	0.6497	0.7540	0.6980	0.6146	0.6435	0.6287	0.4805	0.4393	0.4590	0.6954	0.5953	0.6415	0.8410	0.8250	0.8329	0.6719	0.6124	0.6408	0.5377	0.4215	0.4726	0.7297	0.8284	0.7759	0.4420	0.4896	0.4646	0.7911	0.7740	0.7824	0.6545	0.5996	0.6259	0.7228	0.5915	0.6506	0.3571	0.125	0.1852
0.7242	13.0	22828	0.7810	0.7205	0.6004	0.5846	0.5903	0.5846	0.6679	0.7310	0.6980	0.6422	0.6277	0.6348	0.4782	0.4304	0.4530	0.6712	0.6304	0.6502	0.8237	0.8440	0.8337	0.6598	0.6231	0.6409	0.5565	0.4022	0.4669	0.7213	0.8713	0.7892	0.4847	0.4243	0.4525	0.7698	0.7740	0.7719	0.6276	0.6330	0.6303	0.7022	0.6088	0.6521	0.0	0.0	0.0
0.7216	14.0	24584	0.7839	0.7200	0.6543	0.5946	0.6044	0.5946	0.6680	0.7423	0.7032	0.5927	0.6814	0.6340	0.5271	0.4	0.4548	0.7023	0.6070	0.6512	0.8409	0.8267	0.8337	0.6973	0.5907	0.6396	0.5560	0.4108	0.4725	0.7330	0.8515	0.7878	0.4193	0.5707	0.4835	0.7890	0.7776	0.7832	0.6516	0.6044	0.6271	0.7283	0.5915	0.6528	0.6	0.075	0.1333
0.7136	15.0	26340	0.7812	0.7228	0.6390	0.5889	0.6012	0.5889	0.6691	0.7383	0.7020	0.6679	0.5898	0.6265	0.5154	0.4482	0.4795	0.6839	0.6175	0.6490	0.8221	0.8489	0.8353	0.6613	0.6213	0.6407	0.5508	0.4140	0.4727	0.7260	0.8482	0.7823	0.4718	0.4718	0.4718	0.7932	0.7631	0.7779	0.6205	0.6454	0.6327	0.7254	0.5994	0.6564	0.4	0.05	0.0889
0.7092	16.0	28096	0.7793	0.7225	0.6047	0.5858	0.5928	0.5858	0.6690	0.7391	0.7023	0.6432	0.6296	0.6363	0.5098	0.4179	0.4593	0.6622	0.6398	0.6508	0.8315	0.8426	0.8370	0.6647	0.616	0.6394	0.5688	0.4	0.4697	0.7301	0.8482	0.7847	0.4468	0.4896	0.4672	0.7833	0.7649	0.7740	0.6341	0.6177	0.6258	0.7182	0.6103	0.6599	0.0	0.0	0.0
0.7052	17.0	29852	0.7800	0.7224	0.6070	0.5875	0.5949	0.5875	0.6625	0.7469	0.7021	0.6365	0.6344	0.6355	0.5312	0.4107	0.4632	0.6874	0.6199	0.6519	0.8338	0.8367	0.8353	0.6665	0.62	0.6424	0.5529	0.4161	0.4748	0.7270	0.8614	0.7885	0.4559	0.4906	0.4726	0.7996	0.7649	0.7819	0.6444	0.6168	0.6303	0.6935	0.6197	0.6545	0.0	0.0	0.0
0.6988	18.0	31608	0.7770	0.7233	0.6089	0.5873	0.5950	0.5873	0.6674	0.7446	0.7038	0.6192	0.6483	0.6334	0.5072	0.4393	0.4708	0.6937	0.6199	0.6547	0.8287	0.8427	0.8356	0.6801	0.6084	0.6423	0.5853	0.3946	0.4714	0.7216	0.8812	0.7935	0.4646	0.4738	0.4691	0.7885	0.7685	0.7784	0.6457	0.6063	0.6254	0.7132	0.6072	0.6560	0.0	0.0	0.0
0.7021	19.0	33364	0.7778	0.7238	0.6356	0.5900	0.6000	0.5900	0.6731	0.7389	0.7045	0.6348	0.6306	0.6327	0.5010	0.4482	0.4731	0.6972	0.6222	0.6576	0.8285	0.8431	0.8358	0.6651	0.6249	0.6444	0.5852	0.3989	0.4744	0.7421	0.8548	0.7945	0.4534	0.4817	0.4671	0.7896	0.7667	0.7780	0.6365	0.6311	0.6338	0.7228	0.6041	0.6581	0.3333	0.025	0.0465
0.703	20.0	35120	0.7772	0.7230	0.6333	0.5894	0.5987	0.5894	0.6716	0.7385	0.7035	0.6341	0.6310	0.6326	0.5083	0.4375	0.4702	0.6816	0.6234	0.6512	0.8272	0.8432	0.8351	0.6761	0.6133	0.6432	0.5690	0.4032	0.4720	0.7358	0.8548	0.7908	0.4536	0.4886	0.4705	0.7860	0.7703	0.7781	0.6407	0.6273	0.6339	0.7153	0.6056	0.6559	0.3333	0.025	0.0465

Framework versions

• Transformers 4.32.0.dev0
• Pytorch 2.0.1
• Datasets 2.12.0
• Tokenizers 0.11.0