End of training
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README.md
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---
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license: mit
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tags:
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- generated_from_trainer
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base_model: r1char9/rubert-base-cased-russian-sentiment
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metrics:
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- accuracy
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- precision
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This model is a fine-tuned version of [r1char9/rubert-base-cased-russian-sentiment](https://huggingface.co/r1char9/rubert-base-cased-russian-sentiment) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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- Precision: 0.
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- Recall: 0.
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- F1: 0.
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## Model description
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### Training results
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| Training Loss | Epoch | Step
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### Framework versions
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---
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license: mit
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base_model: r1char9/rubert-base-cased-russian-sentiment
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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- precision
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This model is a fine-tuned version of [r1char9/rubert-base-cased-russian-sentiment](https://huggingface.co/r1char9/rubert-base-cased-russian-sentiment) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5999
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- Accuracy: 0.8836
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- Precision: 0.8933
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- Recall: 0.8836
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- F1: 0.8836
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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| 0.883 | 1.0 | 1850 | 0.8023 | 0.6795 | 0.6684 | 0.6795 | 0.6314 |
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| 0.7316 | 2.0 | 3700 | 0.5792 | 0.7653 | 0.7841 | 0.7653 | 0.7702 |
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| 0.5247 | 3.0 | 5550 | 0.5351 | 0.8211 | 0.8246 | 0.8211 | 0.8197 |
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| 0.4063 | 4.0 | 7400 | 0.5709 | 0.8656 | 0.8745 | 0.8656 | 0.8654 |
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| 0.272 | 5.0 | 9250 | 0.5999 | 0.8836 | 0.8933 | 0.8836 | 0.8836 |
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### Framework versions
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model.safetensors
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