---
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: 1.0277
- Rouge1: 8.9237
- Rouge2: 6.9319
- Rougel: 8.8154
- Rougelsum: 8.7446
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 1.6182        | 1.0   | 172  | 1.2995          | 8.9237 | 6.9319 | 8.8154 | 8.7446    | 19.0    |
| 1.3023        | 2.0   | 344  | 1.1304          | 8.9237 | 6.9319 | 8.8154 | 8.7446    | 19.0    |
| 1.1377        | 3.0   | 516  | 1.0781          | 8.9237 | 6.9319 | 8.8154 | 8.7446    | 19.0    |
| 1.1044        | 4.0   | 688  | 1.0395          | 8.6981 | 6.5625 | 8.3755 | 8.6516    | 19.0    |
| 1.0804        | 5.0   | 860  | 1.0277          | 8.9237 | 6.9319 | 8.8154 | 8.7446    | 19.0    |


### Framework versions

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