End of training

README.md

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+---
+base_model: ai-forever/ruRoberta-large
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: logs
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# logs
+
+This model is a fine-tuned version of [ai-forever/ruRoberta-large](https://huggingface.co/ai-forever/ruRoberta-large) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.0276
+- Accuracy: 0.4127
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 7
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 95   | 2.9270          | 0.3069   |
+| No log        | 2.0   | 190  | 2.8852          | 0.3862   |
+| No log        | 3.0   | 285  | 3.2030          | 0.3492   |
+| No log        | 4.0   | 380  | 3.2829          | 0.3333   |
+| No log        | 5.0   | 475  | 3.0708          | 0.3651   |
+| 0.3928        | 6.0   | 570  | 3.0142          | 0.3810   |
+| 0.3928        | 7.0   | 665  | 3.0276          | 0.4127   |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.0
+- Tokenizers 0.15.2

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