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---
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
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