---
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: 0.8601
- Rouge1: 0.2061
- Rouge2: 0.1141
- Rougel: 0.1781
- Rougelsum: 0.1947

## 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   | 1.0118          | 0.1983 | 0.1119 | 0.1688 | 0.1818    |
| No log        | 2.0   | 34   | 0.9766          | 0.2073 | 0.1290 | 0.1859 | 0.1993    |
| No log        | 3.0   | 51   | 0.9211          | 0.2097 | 0.1224 | 0.1853 | 0.1983    |
| No log        | 4.0   | 68   | 0.8961          | 0.2122 | 0.1165 | 0.1845 | 0.1991    |
| No log        | 5.0   | 85   | 0.8820          | 0.2107 | 0.1192 | 0.1850 | 0.2016    |
| No log        | 6.0   | 102  | 0.8734          | 0.2101 | 0.1173 | 0.1817 | 0.1999    |
| No log        | 7.0   | 119  | 0.8688          | 0.2056 | 0.1114 | 0.1785 | 0.1920    |
| No log        | 8.0   | 136  | 0.8639          | 0.2057 | 0.1135 | 0.1763 | 0.1931    |
| No log        | 9.0   | 153  | 0.8615          | 0.2084 | 0.1173 | 0.1799 | 0.1956    |
| No log        | 10.0  | 170  | 0.8601          | 0.2061 | 0.1141 | 0.1781 | 0.1947    |


### Framework versions

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