update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: kobart_32_3e-5_datav2_min30_lp5.0_temperature1.0
+  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. -->
+
+# kobart_32_3e-5_datav2_min30_lp5.0_temperature1.0
+
+This model is a fine-tuned version of [gogamza/kobart-base-v2](https://huggingface.co/gogamza/kobart-base-v2) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.5958
+- Rouge1: 35.6403
+- Rouge2: 13.1314
+- Rougel: 23.8946
+- Bleu1: 29.625
+- Bleu2: 17.4903
+- Bleu3: 10.6018
+- Bleu4: 6.0498
+- Gen Len: 50.697
+
+## 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: 3e-05
+- train_batch_size: 32
+- eval_batch_size: 128
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 5.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Bleu1  | Bleu2   | Bleu3   | Bleu4  | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:------:|:-------:|:-------:|:------:|:-------:|
+| 1.8239        | 3.78  | 5000 | 2.5958          | 35.6403 | 13.1314 | 23.8946 | 29.625 | 17.4903 | 10.6018 | 6.0498 | 50.697  |
+
+
+### Framework versions
+
+- Transformers 4.25.1
+- Pytorch 1.13.0+cu117
+- Datasets 2.7.1
+- Tokenizers 0.13.2