---
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: 0.8324
- Rouge1: 0.2155
- Rouge2: 0.1170
- Rougel: 0.1827
- Rougelsum: 0.2039

## 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
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| No log        | 1.0   | 17   | 0.9685          | 0.2008 | 0.1092 | 0.1756 | 0.1881    |
| No log        | 2.0   | 34   | 1.0002          | 0.1939 | 0.0984 | 0.1655 | 0.1823    |
| No log        | 3.0   | 51   | 0.8892          | 0.1916 | 0.1092 | 0.1691 | 0.1829    |
| No log        | 4.0   | 68   | 0.8667          | 0.1964 | 0.1076 | 0.1704 | 0.1877    |
| No log        | 5.0   | 85   | 0.8601          | 0.2088 | 0.1076 | 0.1764 | 0.1971    |
| No log        | 6.0   | 102  | 0.8587          | 0.2105 | 0.1120 | 0.1803 | 0.1997    |
| No log        | 7.0   | 119  | 0.8526          | 0.2092 | 0.1105 | 0.1788 | 0.1996    |
| No log        | 8.0   | 136  | 0.8432          | 0.2131 | 0.1149 | 0.1809 | 0.2019    |
| No log        | 9.0   | 153  | 0.8370          | 0.2155 | 0.1170 | 0.1827 | 0.2039    |
| No log        | 10.0  | 170  | 0.8324          | 0.2155 | 0.1170 | 0.1827 | 0.2039    |


### Framework versions

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