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: 5.0267
- Rouge1: 0.0016
- Rouge2: 0.0
- Rougel: 0.0016
- Rougelsum: 0.0016
- Gen Len: 5.5
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 | 16 | 5.3570 | 0.0016 | 0.0 | 0.0016 | 0.0016 | 5.75 |
| No log | 2.0 | 32 | 5.1773 | 0.0 | 0.0 | 0.0 | 0.0 | 5.5938 |
| No log | 3.0 | 48 | 5.0684 | 0.0016 | 0.0 | 0.0016 | 0.0016 | 5.5625 |
| No log | 4.0 | 64 | 5.0267 | 0.0016 | 0.0 | 0.0016 | 0.0016 | 5.5 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.1.2+cu118
- Datasets 2.16.1
- Tokenizers 0.13.3