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ola-owo/
distilbert-base-multilingual-cased-finetuned-big5

Name: distilbert-base-multilingual-cased-finetuned-big5
Availability: InStock

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distilbert-base-multilingual-cased-finetuned-big5

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

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The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 15

Training Loss	Epoch	Step	Validation Loss	Openness Acc	Conscientiousness Acc	Extraversion Acc	Agreeableness Acc	Neuroticism Acc
No log	1.0	282	0.6927	0.9048	0.475	0.6286	0.5625	0.5714
0.6989	2.0	564	0.6885	0.8571	0.6	0.8	0.75	0.7755
0.6989	3.0	846	0.6789	0.9048	0.775	0.8	0.8438	0.8571
0.6813	4.0	1128	0.6821	0.8095	0.775	0.8571	0.6875	0.9184
0.6813	5.0	1410	0.6767	0.8571	0.775	0.8	0.9062	0.9184
0.6635	6.0	1692	0.6775	0.8333	0.825	0.8	0.9375	0.8776
0.6635	7.0	1974	0.6767	0.8571	0.8	0.8571	0.9062	0.8571
0.6518	8.0	2256	0.6797	0.8095	0.8	0.8571	0.9062	0.8776
0.6452	9.0	2538	0.6788	0.8095	0.825	0.8571	0.9375	0.8776
0.6452	10.0	2820	0.6783	0.8333	0.825	0.8571	0.9375	0.8367
0.6399	11.0	3102	0.6785	0.8333	0.825	0.8286	0.9062	0.8367
0.6399	12.0	3384	0.6787	0.8333	0.85	0.8571	0.9062	0.8571
0.6370	13.0	3666	0.6788	0.8095	0.85	0.8571	0.9062	0.8776
0.6370	14.0	3948	0.6790	0.8095	0.825	0.8571	0.9062	0.8571
0.6348	15.0	4230	0.6790	0.8095	0.825	0.8286	0.9062	0.8776