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End of training

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README.md CHANGED
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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
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.8975
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- - Accuracy: 0.72
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- - Precision: 0.7047
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- - Recall: 0.72
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- - F1: 0.7086
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  ## Model description
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@@ -55,9 +55,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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- | No log | 1.0 | 13 | 0.6573 | 0.7 | 0.6577 | 0.7 | 0.6561 |
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- | No log | 2.0 | 26 | 0.8104 | 0.71 | 0.6912 | 0.71 | 0.6956 |
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- | No log | 3.0 | 39 | 0.8975 | 0.72 | 0.7047 | 0.72 | 0.7086 |
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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: 1.1448
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+ - Accuracy: 0.7567
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+ - Precision: 0.7592
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+ - Recall: 0.7567
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+ - F1: 0.7577
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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+ | 0.6928 | 1.0 | 1250 | 0.6545 | 0.6996 | 0.7060 | 0.6996 | 0.6684 |
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+ | 0.4374 | 2.0 | 2500 | 0.6781 | 0.7438 | 0.7390 | 0.7438 | 0.7361 |
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+ | 0.2586 | 3.0 | 3750 | 1.1448 | 0.7567 | 0.7592 | 0.7567 | 0.7577 |
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  ### Framework versions
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