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 the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.9180
- Rouge1: 0.3748
- Rouge2: 0.2236
- Rougel: 0.3625
- Rougelsum: 0.3617
- Gen Len: 11.1364
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 | 200 | 2.7734 | 0.1861 | 0.065 | 0.1791 | 0.1788 | 13.0063 |
| No log | 2.0 | 400 | 2.2328 | 0.3707 | 0.2281 | 0.3577 | 0.3569 | 11.0914 |
| 3.4712 | 3.0 | 600 | 1.9912 | 0.3745 | 0.2224 | 0.3616 | 0.3608 | 11.1239 |
| 3.4712 | 4.0 | 800 | 1.9180 | 0.3748 | 0.2236 | 0.3625 | 0.3617 | 11.1364 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1