update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+model-index:
+- name: bart-med-term-mlm
+  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. -->
+
+# bart-med-term-mlm
+
+This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2506
+- Rouge2 Precision: 0.8338
+- Rouge2 Recall: 0.6005
+- Rouge2 Fmeasure: 0.6775
+
+## 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: 4
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
+|:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
+| 0.3426        | 1.0   | 15827 | 0.3029          | 0.8184           | 0.5913        | 0.6664          |
+| 0.2911        | 2.0   | 31654 | 0.2694          | 0.8278           | 0.5963        | 0.6727          |
+| 0.2571        | 3.0   | 47481 | 0.2549          | 0.8318           | 0.5985        | 0.6753          |
+| 0.2303        | 4.0   | 63308 | 0.2506          | 0.8338           | 0.6005        | 0.6775          |
+
+
+### Framework versions
+
+- Transformers 4.17.0
+- Pytorch 1.10.0+cu111
+- Datasets 1.18.4
+- Tokenizers 0.11.6