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

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: 0.9344
- Rouge1: 8.8258
- Rouge2: 6.8021
- Rougel: 8.5566
- Rougelsum: 8.7828
- Gen Len: 19.0

## 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: 1
- eval_batch_size: 1
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 1.6073        | 1.0   | 172  | 1.2435          | 8.9196 | 6.9144 | 8.8527 | 8.7692    | 19.0    |
| 1.3038        | 2.0   | 344  | 1.0558          | 8.9196 | 6.9144 | 8.8527 | 8.7692    | 19.0    |
| 1.14          | 3.0   | 516  | 0.9817          | 8.7663 | 6.5345 | 8.4648 | 8.731     | 19.0    |
| 1.1009        | 4.0   | 688  | 0.9463          | 8.6299 | 6.3863 | 8.2671 | 8.6138    | 19.0    |
| 1.0771        | 5.0   | 860  | 0.9344          | 8.8258 | 6.8021 | 8.5566 | 8.7828    | 19.0    |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0