update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: mbart-large-50-finetuned-summarization-V2
+  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. -->
+
+# mbart-large-50-finetuned-summarization-V2
+
+This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.9183
+- Rouge1: 50.0118
+- Rouge2: 31.3168
+- Rougel: 37.6392
+- Rougelsum: 45.2287
+- Gen Len: 102.3571
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len  |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:|
+| No log        | 1.0   | 15   | 2.0228          | 51.9711 | 32.5963 | 39.9154 | 48.3431   | 134.6429 |
+| No log        | 2.0   | 30   | 1.9410          | 48.2977 | 30.5942 | 35.9761 | 43.7634   | 92.0714  |
+| No log        | 3.0   | 45   | 1.9183          | 50.0118 | 31.3168 | 37.6392 | 45.2287   | 102.3571 |
+
+
+### Framework versions
+
+- Transformers 4.18.0
+- Pytorch 1.11.0
+- Datasets 2.1.0
+- Tokenizers 0.12.1