<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
my_awesome_billsum_model
This model is a fine-tuned version of t5-small on the billsum dataset. It achieves the following results on the evaluation set:
- Loss: 2.4899
- Rouge1: 0.1398
- Rouge2: 0.0512
- Rougel: 0.117
- Rougelsum: 0.117
- Gen Len: 19.0
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
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 62 | 2.7815 | 0.1245 | 0.0363 | 0.1044 | 0.1044 | 19.0 |
| No log | 2.0 | 124 | 2.5728 | 0.133 | 0.0452 | 0.1112 | 0.1114 | 19.0 |
| No log | 3.0 | 186 | 2.5064 | 0.1382 | 0.0514 | 0.1163 | 0.1164 | 19.0 |
| No log | 4.0 | 248 | 2.4899 | 0.1398 | 0.0512 | 0.117 | 0.117 | 19.0 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
