update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: mBart50_large_torch
+  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. -->
+
+# mBart50_large_torch
+
+This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.9535
+- Rouge1: 0.1566
+- Rouge2: 0.0333
+- Rougel: 0.1242
+- Rougelsum: 0.124
+- Gen Len: 88.63
+
+## 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: 1
+- eval_batch_size: 1
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 3.1667        | 1.0   | 800  | 2.6328          | 0.102  | 0.0214 | 0.091  | 0.0909    | 81.98   |
+| 1.9765        | 2.0   | 1600 | 2.5806          | 0.1317 | 0.0273 | 0.1096 | 0.1099    | 87.67   |
+| 1.4771        | 3.0   | 2400 | 2.7266          | 0.1482 | 0.0321 | 0.1225 | 0.1227    | 92.88   |
+| 1.0086        | 4.0   | 3200 | 2.9535          | 0.1566 | 0.0333 | 0.1242 | 0.124     | 88.63   |
+
+
+### Framework versions
+
+- Transformers 4.28.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.12.0
+- Tokenizers 0.13.3