update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: models228
+  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. -->
+
+# models228
+
+This model is a fine-tuned version of [IlyaGusev/rubert_ext_sum_gazeta](https://huggingface.co/IlyaGusev/rubert_ext_sum_gazeta) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2456
+- Precision: 0.7118
+- Recall: 0.7530
+- F1: 0.7319
+- Accuracy: 0.9205
+
+## 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: 4e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 172  | 0.2966          | 0.6210    | 0.6494 | 0.6349 | 0.9149   |
+| No log        | 2.0   | 344  | 0.2456          | 0.7118    | 0.7530 | 0.7319 | 0.9205   |
+
+
+### Framework versions
+
+- Transformers 4.30.1
+- Pytorch 2.0.0
+- Datasets 2.1.0
+- Tokenizers 0.13.3