Rifat Mamayusupov
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README.md
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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#
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 0.6374
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- eval_accuracy: {'accuracy': 0.7862348178137651}
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## Model description
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## Intended uses & limitations
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More information needed
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# uzbek-sentiment-analysis
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It achieves the following results on the evaluation set:
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- eval_loss: 0.6374
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- eval_accuracy: {'accuracy': 0.7862348178137651}
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## Model description
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**uzbek-sentiment-analysis** modelidan foydalanish.
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```
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from transformers import pipeline
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pipe = pipeline('sentimennt-analysis', model='ai-nightcoder/uzbek-sentiment-analysis')
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text = "bu ovqatni men juda ham yaxshi ko'raman."
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pipe(text)[0]['label']
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```
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## Intended uses & limitations
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More information needed
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