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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: 5.7758
- Rouge1: 0.0847
- Rouge2: 0.026
- Rougel: 0.069
- Rougelsum: 0.0691
- Gen Len: 18.9356
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 7.0515 | 1.0 | 775 | 5.9513 | 0.0782 | 0.0229 | 0.0637 | 0.0637 | 18.964 |
| 6.0983 | 2.0 | 1550 | 5.8347 | 0.083 | 0.0254 | 0.0678 | 0.0679 | 18.9427 |
| 6.0491 | 3.0 | 2325 | 5.7848 | 0.0853 | 0.0262 | 0.0697 | 0.0697 | 18.9273 |
| 5.9983 | 4.0 | 3100 | 5.7758 | 0.0847 | 0.026 | 0.069 | 0.0691 | 18.9356 |
### Framework versions
- Transformers 4.41.1
- Pytorch 2.1.2
- Datasets 2.2.1
- Tokenizers 0.19.1
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