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

# flan-t5-base-updated_data

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: 2.1855
- Rouge1: 30.1504
- Rouge2: 15.0601
- Rougel: 25.9757
- Rougelsum: 26.4304
- Gen Len: 18.18

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 112  | 2.4245          | 30.8943 | 14.0099 | 26.1186 | 26.6014   | 18.0467 |
| No log        | 2.0   | 224  | 2.3033          | 31.2618 | 14.9632 | 26.6116 | 27.0315   | 18.0933 |
| No log        | 3.0   | 336  | 2.2369          | 29.9047 | 14.7151 | 25.5824 | 26.0168   | 17.9667 |
| No log        | 4.0   | 448  | 2.1954          | 30.2469 | 15.1358 | 26.1566 | 26.5722   | 18.18   |
| 2.45          | 5.0   | 560  | 2.1855          | 30.1504 | 15.0601 | 25.9757 | 26.4304   | 18.18   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0