gcicontracts
This model is a fine-tuned version of mjbeattie/mjbbillsum on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.0721
- Rouge1: 0.2917
- Rouge2: 0.1209
- Rougel: 0.2556
- Rougelsum: 0.2535
- Gen Len: 18.1463
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 11 | 2.4545 | 0.3004 | 0.1333 | 0.2658 | 0.2637 | 18.2927 |
| No log | 2.0 | 22 | 2.3030 | 0.3047 | 0.1397 | 0.2744 | 0.2709 | 18.2927 |
| No log | 3.0 | 33 | 2.2187 | 0.3065 | 0.1416 | 0.276 | 0.2718 | 18.2439 |
| No log | 4.0 | 44 | 2.1562 | 0.2926 | 0.1209 | 0.2558 | 0.2538 | 18.2439 |
| No log | 5.0 | 55 | 2.1172 | 0.2926 | 0.1209 | 0.2558 | 0.2538 | 18.2439 |
| No log | 6.0 | 66 | 2.0921 | 0.2914 | 0.1209 | 0.2552 | 0.253 | 18.1463 |
| No log | 7.0 | 77 | 2.0786 | 0.2917 | 0.1209 | 0.2556 | 0.2535 | 18.1463 |
| No log | 8.0 | 88 | 2.0721 | 0.2917 | 0.1209 | 0.2556 | 0.2535 | 18.1463 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1
- Datasets 2.10.0
- Tokenizers 0.11.0