End of training

README.md

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+---
+license: apache-2.0
+base_model: ai-forever/ruBert-base
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: ruBert-base-finetuned-pos
+  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. -->
+
+# ruBert-base-finetuned-pos
+
+This model is a fine-tuned version of [ai-forever/ruBert-base](https://huggingface.co/ai-forever/ruBert-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0533
+- Precision: 0.0
+- Recall: 0.0
+- F1: 0.0
+- Accuracy: 0.0
+
+## 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: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
+| No log        | 1.0   | 2    | 1.2426          | 0.0       | 0.0    | 0.0 | 0.0      |
+| No log        | 2.0   | 4    | 1.1435          | 0.0       | 0.0    | 0.0 | 0.0      |
+| No log        | 3.0   | 6    | 1.0921          | 0.0       | 0.0    | 0.0 | 0.0      |
+| No log        | 4.0   | 8    | 1.0643          | 0.0       | 0.0    | 0.0 | 0.0      |
+| No log        | 5.0   | 10   | 1.0533          | 0.0       | 0.0    | 0.0 | 0.0      |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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