t5small_contracts
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.9521
- Rouge1: 0.2926
- Rouge2: 0.1622
- Rougel: 0.2568
- Rougelsum: 0.2549
- Gen Len: 18.4146
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: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 11 | 3.3928 | 0.2931 | 0.1602 | 0.2571 | 0.255 | 18.5122 |
| No log | 2.0 | 22 | 3.1343 | 0.2951 | 0.1632 | 0.2593 | 0.2565 | 18.4146 |
| No log | 3.0 | 33 | 3.0073 | 0.2919 | 0.1617 | 0.2563 | 0.2541 | 18.4146 |
| No log | 4.0 | 44 | 2.9521 | 0.2926 | 0.1622 | 0.2568 | 0.2549 | 18.4146 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1
- Datasets 2.10.0
- Tokenizers 0.11.0