---
license: apache-2.0
base_model: stevhliu/my_awesome_billsum_model
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: Modelo_Resumen
  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. -->

# Modelo_Resumen

Éste modelo fue creado para la clase del Dr. Gendry
- Loss: 2.2007
- Rouge1: 0.1957
- Rouge2: 0.095
- Rougel: 0.1645
- Rougelsum: 0.1645
- 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: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 62   | 2.3594          | 0.1957 | 0.0921 | 0.1645 | 0.1645    | 19.0    |
| No log        | 2.0   | 124  | 2.3268          | 0.194  | 0.0898 | 0.1631 | 0.1631    | 19.0    |
| No log        | 3.0   | 186  | 2.3013          | 0.194  | 0.0923 | 0.1649 | 0.1648    | 19.0    |
| No log        | 4.0   | 248  | 2.2776          | 0.195  | 0.0932 | 0.166  | 0.1659    | 19.0    |
| No log        | 5.0   | 310  | 2.2620          | 0.1944 | 0.0925 | 0.165  | 0.1649    | 19.0    |
| No log        | 6.0   | 372  | 2.2474          | 0.1935 | 0.0917 | 0.1648 | 0.1646    | 19.0    |
| No log        | 7.0   | 434  | 2.2362          | 0.1931 | 0.0929 | 0.1642 | 0.1642    | 19.0    |
| No log        | 8.0   | 496  | 2.2276          | 0.1937 | 0.0935 | 0.1642 | 0.1644    | 19.0    |
| 2.4678        | 9.0   | 558  | 2.2203          | 0.1941 | 0.0938 | 0.164  | 0.164     | 19.0    |
| 2.4678        | 10.0  | 620  | 2.2141          | 0.195  | 0.0954 | 0.1648 | 0.1648    | 19.0    |
| 2.4678        | 11.0  | 682  | 2.2095          | 0.1956 | 0.096  | 0.1649 | 0.1649    | 19.0    |
| 2.4678        | 12.0  | 744  | 2.2055          | 0.1952 | 0.0955 | 0.1645 | 0.1645    | 19.0    |
| 2.4678        | 13.0  | 806  | 2.2030          | 0.1945 | 0.0947 | 0.1639 | 0.1638    | 19.0    |
| 2.4678        | 14.0  | 868  | 2.2014          | 0.1956 | 0.095  | 0.1644 | 0.1644    | 19.0    |
| 2.4678        | 15.0  | 930  | 2.2007          | 0.1957 | 0.095  | 0.1645 | 0.1645    | 19.0    |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2