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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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base_model: google/bigbird-pegasus-large-pubmed
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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: bigbird-pegasus-large-pubmed-finetuned-legal-2
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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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# bigbird-pegasus-large-pubmed-finetuned-legal-2
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This model is a fine-tuned version of [google/bigbird-pegasus-large-pubmed](https://huggingface.co/google/bigbird-pegasus-large-pubmed) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.0932
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- Rouge1: 35.0046
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- Rouge2: 14.6481
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- Rougel: 20.8387
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- Rougelsum: 32.3484
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- Gen Len: 245.06
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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: 2e-05
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- train_batch_size: 1
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- eval_batch_size: 1
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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: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
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| 3.3208 | 1.0 | 6176 | 3.0932 | 35.0046 | 14.6481 | 20.8387 | 32.3484 | 245.06 |
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### Framework versions
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- Transformers 4.31.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.3
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- Tokenizers 0.13.3
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