mbti-career

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

• Loss: 0.3516

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: 5e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 300
• num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss
0.6547	0.59	100	0.6169
0.5967	1.18	200	0.5943
0.5872	1.76	300	0.5696
0.554	2.35	400	0.5287
0.5041	2.94	500	0.4890
0.4773	3.53	600	0.4895
0.4691	4.12	700	0.4840
0.4253	4.71	800	0.4573
0.4002	5.29	900	0.4240
0.3813	5.88	1000	0.4031
0.3561	6.47	1100	0.3943
0.3359	7.06	1200	0.3864
0.3126	7.65	1300	0.3889
0.2948	8.24	1400	0.3869
0.2816	8.82	1500	0.3788
0.2522	9.41	1600	0.3891
0.2451	10.0	1700	0.3849
0.2148	10.59	1800	0.3784
0.2132	11.18	1900	0.3716
0.1882	11.76	2000	0.3659
0.1754	12.35	2100	0.3737
0.169	12.94	2200	0.3711
0.1559	13.53	2300	0.3672
0.1537	14.12	2400	0.3391
0.1427	14.71	2500	0.3516

Framework versions

• Transformers 4.25.1
• Pytorch 1.13.0+cu116
• Datasets 2.8.0
• Tokenizers 0.13.2