bigbird-pegasus-large-pubmed-finetuned-legal
This model is a fine-tuned version of google/bigbird-pegasus-large-pubmed on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.8609
- Rouge1: 28.3788
- Rouge2: 9.014
- Rougel: 18.3548
- Rougelsum: 26.2062
- Gen Len: 240.64
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: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 5.5964 | 1.0 | 800 | 4.8609 | 28.3788 | 9.014 | 18.3548 | 26.2062 | 240.64 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.3
- Tokenizers 0.13.3
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Model tree for minjingzhu/bigbird-pegasus-large-pubmed-finetuned-legal
Base model
google/bigbird-pegasus-large-pubmed