metadata
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: my_awesome_billsum_model
results: []
my_awesome_billsum_model
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5768
- Rouge1: 0.3454
- Rouge2: 0.1108
- Rougel: 0.2865
- Rougelsum: 0.2866
- Gen Len: 18.752
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 |
|---|---|---|---|---|---|---|---|---|
| 1.7371 | 1.0 | 779 | 1.6408 | 0.3309 | 0.0977 | 0.2751 | 0.2751 | 18.79 |
| 1.5146 | 2.0 | 1558 | 1.5945 | 0.3418 | 0.108 | 0.284 | 0.2842 | 18.766 |
| 1.4889 | 3.0 | 2337 | 1.5801 | 0.3452 | 0.1113 | 0.2863 | 0.2864 | 18.742 |
| 1.465 | 4.0 | 3116 | 1.5768 | 0.3454 | 0.1108 | 0.2865 | 0.2866 | 18.752 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3