bigbird_lora_multi_lexsum_4096
This model is a fine-tuned version of google/bigbird-pegasus-large-bigpatent on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 6.4747
- Rouge1: 0.2081
- Rouge2: 0.0211
- Rougel: 0.149
- Rougelsum: 0.149
- Gen Len: 238.0973
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 7.0221 | 1.0 | 1301 | 6.6894 | 0.2067 | 0.0208 | 0.1466 | 0.1466 | 236.1568 |
| 6.6786 | 2.0 | 2602 | 6.4747 | 0.2081 | 0.0211 | 0.149 | 0.149 | 238.0973 |
Framework versions
- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for Rud/bigbird_lora_multi_lexsum_4096
Base model
google/bigbird-pegasus-large-bigpatent