uzroberta-sentiment-analysis – AI Model by murodbek | AlphaNeural AI

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murodbek/
uzroberta-sentiment-analysis

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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uzroberta-sentiment-analysis

This model is a fine-tuned version of rifkat/uztext-3Gb-BPE-Roberta on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.0473
Accuracy: 0.8257
F1: 0.8287

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 6

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.3411	1.0	1156	0.4061	0.8276	0.8303
0.2319	2.0	2312	0.4074	0.8336	0.8359
0.1629	3.0	3468	0.5250	0.8394	0.8416
0.1082	4.0	4624	0.8780	0.8180	0.8219
0.0712	5.0	5780	0.9741	0.8321	0.8349
0.0537	6.0	6936	1.0473	0.8257	0.8287

Framework versions

Transformers 4.27.3
Pytorch 2.0.0+cu117
Datasets 2.11.0
Tokenizers 0.12.1