---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: results
  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. -->

# results

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2242
- Rouge1: 0.2012
- Rouge2: 0.1143
- Rougel: 0.1704
- Rougelsum: 0.1885

## 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: 8e-05
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 200

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| No log        | 1.0   | 17   | 5.3687          | 0.1823 | 0.0899 | 0.1478 | 0.1616    |
| No log        | 2.0   | 34   | 3.0748          | 0.1903 | 0.0931 | 0.1539 | 0.1741    |
| No log        | 3.0   | 51   | 1.5007          | 0.1654 | 0.0620 | 0.1273 | 0.1507    |
| No log        | 4.0   | 68   | 0.5415          | 0.1570 | 0.0597 | 0.1153 | 0.1389    |
| No log        | 5.0   | 85   | 0.3232          | 0.1538 | 0.0702 | 0.1152 | 0.1377    |
| No log        | 6.0   | 102  | 0.2662          | 0.1668 | 0.0704 | 0.1298 | 0.1467    |
| No log        | 7.0   | 119  | 0.2379          | 0.1667 | 0.0684 | 0.1283 | 0.1475    |
| No log        | 8.0   | 136  | 0.2296          | 0.1865 | 0.0911 | 0.1498 | 0.1720    |
| No log        | 9.0   | 153  | 0.2266          | 0.2040 | 0.1084 | 0.1662 | 0.1860    |
| No log        | 10.0  | 170  | 0.2238          | 0.2031 | 0.1136 | 0.1689 | 0.1877    |
| No log        | 11.0  | 187  | 0.2239          | 0.2012 | 0.1148 | 0.1704 | 0.1885    |
| No log        | 11.76 | 200  | 0.2242          | 0.2012 | 0.1143 | 0.1704 | 0.1885    |


### Framework versions

- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3