license: apache-2.0 | |
base_model: google/bigbird-pegasus-large-pubmed | |
tags: | |
- generated_from_trainer | |
metrics: | |
- rouge | |
model-index: | |
- name: bigbird-pegasus-large-pubmed-finetuned-legal | |
results: [] | |
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# bigbird-pegasus-large-pubmed-finetuned-legal | |
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. | |
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 | |