update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: led-base-16384-biolaysum-both-umls
+  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. -->
+
+# led-base-16384-biolaysum-both-umls
+
+This model is a fine-tuned version of [allenai/led-base-16384](https://huggingface.co/allenai/led-base-16384) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.1595
+- Rouge1: 0.4549
+- Rouge2: 0.1553
+- Rougel: 0.2425
+- Rougelsum: 0.2425
+
+## 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: 5e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- 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 |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|
+| 2.2745        | 0.69  | 5000  | 2.2222          | 0.4497 | 0.1522 | 0.2420 | 0.2419    |
+| 2.0396        | 1.37  | 10000 | 2.1595          | 0.4549 | 0.1553 | 0.2425 | 0.2425    |
+| 1.9232        | 2.06  | 15000 | 2.1235          | 0.4552 | 0.1532 | 0.2416 | 0.2414    |
+| 1.9027        | 2.75  | 20000 | 2.1110          | 0.4559 | 0.1537 | 0.2402 | 0.2401    |
+| 1.7799        | 3.43  | 25000 | 2.0989          | 0.4544 | 0.1527 | 0.2415 | 0.2414    |
+
+
+### Framework versions
+
+- Transformers 4.26.0
+- Pytorch 1.13.1
+- Datasets 2.10.1
+- Tokenizers 0.12.1