update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: ruBert-base-russian-emotions-classifier-goEmotions
+  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-russian-emotions-classifier-goEmotions
+
+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: 0.2606
+- Accuracy: 0.8950
+
+## 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: 5e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- 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 | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.1755        | 1.0   | 1685 | 0.1717          | 0.9220   |
+| 0.1391        | 2.0   | 3370 | 0.1757          | 0.9240   |
+| 0.0899        | 3.0   | 5055 | 0.2088          | 0.9106   |
+| 0.0538        | 4.0   | 6740 | 0.2464          | 0.8953   |
+| 0.0344        | 5.0   | 8425 | 0.2606          | 0.8950   |
+
+
+### Framework versions
+
+- Transformers 4.24.0
+- Pytorch 2.0.1
+- Datasets 2.12.0
+- Tokenizers 0.11.0