uzbek-sentiment-analysis-v5

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uzbek-sentiment-analysis

It achieves the following results on the evaluation set:

• eval_loss: 0.6374
• eval_accuracy: {'accuracy': 0.7862348178137651}
• eval_f1score: {'f1': 0.7880364308572618}
• eval_runtime: 7.593
• eval_samples_per_second: 162.65
• eval_steps_per_second: 20.414
• step: 0

Model description

uzbek-sentiment-analysis modelidan foydalanish.

from transformers import pipeline

pipe = pipeline('sentimennt-analysis', model='ai-nightcoder/uzbek-sentiment-analysis-v5')

text = "bu ovqatni men juda ham yaxshi ko'raman."
pipe(text)[0]['label']

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: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 864
• num_epochs: 7

Framework versions

• Transformers 4.40.1
• Pytorch 2.4.0.dev20240416+cu121
• Datasets 1.18.3
• Tokenizers 0.19.1