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---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: my_awesome_billsum_model
results: []
---
<!-- 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](https://huggingface.co/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3958
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Rougelsum: 0.0
- 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: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log | 1.0 | 4 | 0.4651 | 0.0 | 0.0 | 0.0 | 0.0 | 19.0 |
| No log | 2.0 | 8 | 0.4529 | 0.0 | 0.0 | 0.0 | 0.0 | 19.0 |
| No log | 3.0 | 12 | 0.4443 | 0.0 | 0.0 | 0.0 | 0.0 | 19.0 |
| No log | 4.0 | 16 | 0.4345 | 0.0 | 0.0 | 0.0 | 0.0 | 19.0 |
| No log | 5.0 | 20 | 0.4242 | 0.0 | 0.0 | 0.0 | 0.0 | 19.0 |
| No log | 6.0 | 24 | 0.4148 | 0.0 | 0.0 | 0.0 | 0.0 | 19.0 |
| No log | 7.0 | 28 | 0.4070 | 0.0 | 0.0 | 0.0 | 0.0 | 19.0 |
| No log | 8.0 | 32 | 0.4012 | 0.0 | 0.0 | 0.0 | 0.0 | 19.0 |
| No log | 9.0 | 36 | 0.3973 | 0.0 | 0.0 | 0.0 | 0.0 | 19.0 |
| No log | 10.0 | 40 | 0.3958 | 0.0 | 0.0 | 0.0 | 0.0 | 19.0 |
### Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
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