metadata
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-2
results: []
bigbird-pegasus-large-pubmed-finetuned-legal-2
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: 3.0932
- Rouge1: 35.0046
- Rouge2: 14.6481
- Rougel: 20.8387
- Rougelsum: 32.3484
- Gen Len: 245.06
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 |
---|---|---|---|---|---|---|---|---|
3.3208 | 1.0 | 6176 | 3.0932 | 35.0046 | 14.6481 | 20.8387 | 32.3484 | 245.06 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.3
- Tokenizers 0.13.3