update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: bert2bert_law_summarization_tr
+  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. -->
+
+# bert2bert_law_summarization_tr
+
+This model is a fine-tuned version of [mrm8488/bert2bert_shared-turkish-summarization](https://huggingface.co/mrm8488/bert2bert_shared-turkish-summarization) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9682
+- Rouge1: 0.6221
+- Rouge2: 0.5799
+- Rougel: 0.6007
+- Rougelsum: 0.6009
+- Gen Len: 63.3077
+
+## 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: 2
+- eval_batch_size: 2
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 4
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 1.6025        | 1.0   | 520  | 1.1210          | 0.611  | 0.5687 | 0.5885 | 0.5883    | 62.6154 |
+| 1.0845        | 2.0   | 1040 | 1.0161          | 0.62   | 0.5789 | 0.601  | 0.6005    | 63.4038 |
+| 0.9252        | 3.0   | 1560 | 0.9784          | 0.6249 | 0.583  | 0.6043 | 0.6045    | 63.2654 |
+| 0.858         | 4.0   | 2080 | 0.9682          | 0.6221 | 0.5799 | 0.6007 | 0.6009    | 63.3077 |
+
+
+### Framework versions
+
+- Transformers 4.28.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.13.0
+- Tokenizers 0.13.3