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update model card README.md
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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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metrics:
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- rouge
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model-index:
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- name: led-base-16384-biolaysum-both-annotated_original
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# led-base-16384-biolaysum-both-annotated_original
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This model is a fine-tuned version of [allenai/led-base-16384](https://huggingface.co/allenai/led-base-16384) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.2291
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- Rouge1: 0.4024
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- Rouge2: 0.1404
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- Rougel: 0.1995
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- Rougelsum: 0.1995
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 4
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|
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| 2.3052 | 0.69 | 5000 | 2.2666 | 0.4001 | 0.1388 | 0.1983 | 0.1983 |
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| 2.0681 | 1.37 | 10000 | 2.2291 | 0.4024 | 0.1404 | 0.1995 | 0.1995 |
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| 1.9434 | 2.06 | 15000 | 2.3015 | 0.4005 | 0.1385 | 0.1992 | 0.1992 |
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| 1.9203 | 2.75 | 20000 | 2.3104 | 0.3909 | 0.1315 | 0.1940 | 0.1939 |
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| 1.7928 | 3.43 | 25000 | 2.3387 | 0.3912 | 0.1314 | 0.1919 | 0.1918 |
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### Framework versions
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- Transformers 4.26.0
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- Pytorch 1.13.1
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- Datasets 2.10.1
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- Tokenizers 0.12.1
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