results2 – AI Model by danilka200300 | AlphaNeural AI

You can deploy this model and start earning money today!

danilka200300/
results2

like

0

text-classification

generated_from_trainer

sergeyzh/rubert-tiny-turbo

autotrain_compatible

endpoints_compatible

Views

No views yet

results2

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

Loss: 0.4427
Accuracy: 0.9538
Recall: 0.7081
Precision: 0.6196
F1: 0.6609
Roc Auc: 0.9492

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
0.5363	1.0	634	0.4125	0.9290	0.7143	0.4618	0.5610	0.9315
0.3492	2.0	1268	0.3806	0.9448	0.7143	0.5502	0.6216	0.9475
0.3259	3.0	1902	0.4427	0.9538	0.7081	0.6196	0.6609	0.9492
0.1526	4.0	2536	0.6152	0.9546	0.7143	0.625	0.6667	0.9414
0.0028	5.0	3170	0.7408	0.9606	0.6708	0.6968	0.6835	0.9380

Framework versions

Transformers 4.45.1
Pytorch 2.4.0
Datasets 3.0.1
Tokenizers 0.20.0