---
base_model: weny22/sum_model_t5_saved
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: sum_model_0318
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# sum_model_0318

This model is a fine-tuned version of [weny22/sum_model_t5_saved](https://huggingface.co/weny22/sum_model_t5_saved) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2129
- Rouge1: 0.1944
- Rouge2: 0.0649
- Rougel: 0.1561
- Rougelsum: 0.1561
- Gen Len: 18.906

## 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: 20
- eval_batch_size: 20
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 3.5498        | 1.0   | 1071  | 2.4036          | 0.1898 | 0.064  | 0.1515 | 0.1517    | 18.7547 |
| 3.1356        | 2.0   | 2142  | 2.3257          | 0.1905 | 0.0632 | 0.152  | 0.1522    | 18.864  |
| 2.9964        | 3.0   | 3213  | 2.2863          | 0.1913 | 0.0628 | 0.1533 | 0.1534    | 18.882  |
| 2.9052        | 4.0   | 4284  | 2.2622          | 0.1917 | 0.0639 | 0.1546 | 0.1546    | 18.8833 |
| 2.8472        | 5.0   | 5355  | 2.2430          | 0.1925 | 0.0638 | 0.1544 | 0.1545    | 18.8893 |
| 2.7982        | 6.0   | 6426  | 2.2388          | 0.1937 | 0.0643 | 0.1553 | 0.1554    | 18.894  |
| 2.7681        | 7.0   | 7497  | 2.2256          | 0.1952 | 0.0649 | 0.1567 | 0.1567    | 18.9047 |
| 2.7501        | 8.0   | 8568  | 2.2202          | 0.1942 | 0.0648 | 0.1556 | 0.1557    | 18.902  |
| 2.7305        | 9.0   | 9639  | 2.2150          | 0.1946 | 0.0651 | 0.1563 | 0.1563    | 18.904  |
| 2.723         | 10.0  | 10710 | 2.2129          | 0.1944 | 0.0649 | 0.1561 | 0.1561    | 18.906  |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2