End of training

README.md

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+---
+license: apache-2.0
+base_model: ai-forever/ruBert-base
+tags:
+- generated_from_trainer
+model-index:
+- name: ruBert-base-1-4
+  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-1-4
+
+This model is a fine-tuned version of [ai-forever/ruBert-base](https://huggingface.co/ai-forever/ruBert-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 0.3719
+- eval_accuracy: 0.9187
+- eval_runtime: 7.3504
+- eval_samples_per_second: 1632.566
+- eval_steps_per_second: 51.018
+- epoch: 9.64
+- step: 14464
+
+## 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: 1e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 15
+- mixed_precision_training: Native AMP
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.0
+- Tokenizers 0.15.0

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