metadata

base_model: DeepPavlov/rubert-base-cased
tags:
  - generated_from_trainer
  - sentiment
metrics:
  - f1
model-index:
  - name: vashkontrol-sentiment-rubert
    results: []
license: mit
datasets:
  - kartashoffv/vash_kontrol_reviews
language:
  - ru
pipeline_tag: text-classification
widget:
  - text: >-
      Отзывчивые и понимающие работники, обслуживание очень понравилось,
      специалист проявила большое терпение чтобы восстановить пароль от
      Госуслуг. Спасибо!

vashkontrol-sentiment-rubert

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

Loss: 0.1085
F1: 0.9461

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: 10
eval_batch_size: 10
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.0992	1.0	1391	0.0737	0.9337
0.0585	2.0	2782	0.0616	0.9384
0.0358	3.0	4173	0.0787	0.9441
0.0221	4.0	5564	0.0918	0.9488
0.0106	5.0	6955	0.1085	0.9461

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.1
Tokenizers 0.13.3