sbert_large-finetuned-sent_in_news_sents_3lab

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

• Loss: 0.9443
• Accuracy: 0.8580
• F1: 0.6199

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: 2e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 17

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	1.0	264	0.6137	0.8608	0.3084
0.524	2.0	528	0.6563	0.8722	0.4861
0.524	3.0	792	0.7110	0.8494	0.4687
0.2225	4.0	1056	0.7323	0.8608	0.6015
0.2225	5.0	1320	0.9604	0.8551	0.6185
0.1037	6.0	1584	0.8801	0.8523	0.5535
0.1037	7.0	1848	0.9443	0.8580	0.6199
0.0479	8.0	2112	1.0048	0.8608	0.6168
0.0479	9.0	2376	0.9757	0.8551	0.6097
0.0353	10.0	2640	1.0743	0.8580	0.6071
0.0353	11.0	2904	1.1216	0.8580	0.6011

Framework versions

• Transformers 4.11.2
• Pytorch 1.9.0+cu102
• Datasets 1.12.1
• Tokenizers 0.10.3