results – AI Model by danilka200300 | AlphaNeural AI

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danilka200300/
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text-classification

generated_from_trainer

sergeyzh/rubert-mini-sts

autotrain_compatible

endpoints_compatible

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results

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

Loss: 0.2971
Accuracy: 0.9341
Recall: 0.8385
Precision: 0.4891
F1: 0.6178
Roc Auc: 0.9580

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: 500
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Recall	Precision	F1	Roc Auc
0.4671	1.0	634	0.3607	0.9262	0.7453	0.4511	0.5621	0.9394
0.3636	2.0	1268	0.2971	0.9341	0.8385	0.4891	0.6178	0.9580
0.2249	3.0	1902	0.4273	0.9594	0.7019	0.6726	0.6869	0.9521
0.0178	4.0	2536	0.6423	0.9657	0.6398	0.7803	0.7031	0.9507
0.0123	5.0	3170	0.5578	0.9558	0.7516	0.6269	0.6836	0.9500

Framework versions

Transformers 4.45.1
Pytorch 2.4.0
Datasets 3.0.1
Tokenizers 0.20.0