---
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: results_2
  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. -->

# results_2

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: 0.8220
- Rouge1: 0.3088
- Rouge2: 0.2493
- Rougel: 0.2955
- Rougelsum: 0.3043

## 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: 0.001
- train_batch_size: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| No log        | 1.0   | 223  | 0.9906          | 0.2907 | 0.2130 | 0.2741 | 0.2837    |
| No log        | 2.0   | 446  | 0.8959          | 0.3038 | 0.2387 | 0.2894 | 0.2988    |
| 1.163         | 3.0   | 669  | 0.8509          | 0.3059 | 0.2432 | 0.2924 | 0.3013    |
| 1.163         | 4.0   | 892  | 0.8264          | 0.3095 | 0.2497 | 0.2964 | 0.3051    |
| 0.8071        | 5.0   | 1115 | 0.8220          | 0.3088 | 0.2493 | 0.2955 | 0.3043    |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2