ru_sentiment_classification_model – AI Model by annavtkn | AlphaNeural AI

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annavtkn/
ru_sentiment_classification_model

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text-classification

generated_from_trainer

r1char9/rubert-base-cased-russian-sentiment

autotrain_compatible

endpoints_compatible

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ru_sentiment_classification_model

This model is a fine-tuned version of r1char9/rubert-base-cased-russian-sentiment on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.6368
Accuracy: 0.8875
Precision: 0.8990
Recall: 0.8875
F1: 0.8867

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: 8
eval_batch_size: 8
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	Accuracy	Precision	Recall	F1
0.8144	1.0	1854	0.7593	0.6630	0.6739	0.6630	0.6549
0.6734	2.0	3708	0.5688	0.7917	0.7933	0.7917	0.7899
0.5025	3.0	5562	0.5219	0.8238	0.8423	0.8238	0.8229
0.354	4.0	7416	0.4655	0.8912	0.8960	0.8912	0.8914
0.229	5.0	9270	0.6368	0.8875	0.8990	0.8875	0.8867

Framework versions

Transformers 4.40.0
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.19.1