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

This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2767
- Rouge1: 44.1999
- Rouge2: 34.9821
- Rougel: 42.5428
- Rougelsum: 42.0168
- 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: 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   | 22   | 2.1908          | 38.4462 | 16.3179 | 32.7098 | 36.1665   | 19.0    |
| No log        | 2.0   | 44   | 1.6382          | 44.0894 | 34.8011 | 42.6727 | 42.3831   | 19.0    |
| No log        | 3.0   | 66   | 1.4048          | 44.1218 | 34.8312 | 42.6947 | 42.4035   | 19.0    |
| No log        | 4.0   | 88   | 1.2996          | 44.1999 | 34.9821 | 42.5428 | 42.0168   | 19.0    |
| No log        | 5.0   | 110  | 1.2767          | 44.1999 | 34.9821 | 42.5428 | 42.0168   | 19.0    |


### Framework versions

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