---
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-small-asap_t3_f0_pa
  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-asap_t3_f0_pa

This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0564
- Rouge1: 83.5868
- Rouge2: 79.2034
- Rougel: 83.6443
- Rougelsum: 83.6385
- Gen Len: 12.0478

## 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   | 259  | 0.0883          | 78.5864 | 72.6388 | 78.5689 | 78.5751   | 12.0072 |
| 0.3997        | 2.0   | 518  | 0.0670          | 82.2729 | 77.3733 | 82.2731 | 82.3003   | 12.0232 |
| 0.3997        | 3.0   | 777  | 0.0580          | 83.4593 | 78.9471 | 83.5089 | 83.5189   | 12.0464 |
| 0.0732        | 4.0   | 1036 | 0.0570          | 83.5601 | 79.1687 | 83.5758 | 83.5695   | 12.0551 |
| 0.0732        | 5.0   | 1295 | 0.0564          | 83.5868 | 79.2034 | 83.6443 | 83.6385   | 12.0478 |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2