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Fruha/
UmoreskiAI

Name: UmoreskiAI
Availability: InStock

generated_from_trainer

autotrain_compatible

endpoints_compatible

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UmoreskiAI

This model is a fine-tuned version of DeepPavlov/rubert-base-cased-sentence on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0956
Roc auc: 0.8014
Maxf1: 0.4348
Best Threshold: 0.1332

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: 8
eval_batch_size: 8
seed: 21
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Roc auc	Maxf1	Best Threshold
0.1013	1.0	993	0.0932	0.7972	0.4358	0.1875
0.0876	2.0	1986	0.0956	0.8014	0.4348	0.1332

Framework versions

Transformers 4.27.4
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.12.1

Fruha/UmoreskiAI

UmoreskiAI

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Fruha/
UmoreskiAI