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---
license: apache-2.0
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 the None dataset.
It achieves the following results on the evaluation set:
- Loss: 5.1957
- Rouge1: 0.2351
- Rouge2: 0.02
- Rougel: 0.1918
- Rougelsum: 0.1918
- Gen Len: 12.5
## 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
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log | 1.0 | 6 | 5.3947 | 0.1805 | 0.0 | 0.165 | 0.1658 | 13.0 |
| No log | 2.0 | 12 | 5.2845 | 0.1923 | 0.0 | 0.1643 | 0.1645 | 13.9 |
| No log | 3.0 | 18 | 5.2270 | 0.2429 | 0.0 | 0.2029 | 0.2036 | 13.3 |
| No log | 4.0 | 24 | 5.1957 | 0.2351 | 0.02 | 0.1918 | 0.1918 | 12.5 |
### Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
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