---
library_name: transformers
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flanT5Base-riksIdentification-trained
  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. -->

# flanT5Base-riksIdentification-trained

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5288
- Rouge1: 40.8854
- Rouge2: 22.6821
- Rougel: 36.0638
- Rougelsum: 36.8444
- Gen Len: 18.7778

## 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: 3e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 60   | 1.9165          | 39.1847 | 20.771  | 35.3702 | 35.7857   | 18.3148 |
| No log        | 2.0   | 120  | 1.8308          | 40.7152 | 21.7447 | 36.6752 | 37.1989   | 18.6296 |
| No log        | 3.0   | 180  | 1.7769          | 40.7843 | 22.2581 | 36.3515 | 36.9362   | 18.7407 |
| No log        | 4.0   | 240  | 1.7355          | 39.8099 | 21.8843 | 35.5563 | 36.0749   | 18.9444 |
| No log        | 5.0   | 300  | 1.6971          | 41.3752 | 23.8678 | 36.8792 | 37.3489   | 18.7037 |
| No log        | 6.0   | 360  | 1.6690          | 41.2441 | 23.4026 | 36.4348 | 37.067    | 18.9074 |
| No log        | 7.0   | 420  | 1.6327          | 40.9744 | 23.6697 | 36.3964 | 36.9935   | 18.9074 |
| No log        | 8.0   | 480  | 1.6214          | 41.3833 | 23.796  | 36.7591 | 37.4926   | 18.9815 |
| 1.7877        | 9.0   | 540  | 1.5955          | 40.9415 | 23.3711 | 36.2089 | 36.8672   | 18.7407 |
| 1.7877        | 10.0  | 600  | 1.5821          | 41.1759 | 23.362  | 36.5208 | 37.2207   | 18.7963 |
| 1.7877        | 11.0  | 660  | 1.5687          | 41.5582 | 23.575  | 36.4706 | 37.1927   | 18.9074 |
| 1.7877        | 12.0  | 720  | 1.5685          | 41.5293 | 23.2829 | 36.7273 | 37.468    | 18.8148 |
| 1.7877        | 13.0  | 780  | 1.5503          | 40.6781 | 21.9403 | 35.725  | 36.3384   | 18.9444 |
| 1.7877        | 14.0  | 840  | 1.5454          | 40.4918 | 22.3652 | 35.7063 | 36.3163   | 18.9815 |
| 1.7877        | 15.0  | 900  | 1.5364          | 41.6247 | 23.5637 | 36.9036 | 37.4561   | 18.8704 |
| 1.7877        | 16.0  | 960  | 1.5344          | 41.1763 | 23.2285 | 36.2463 | 36.6802   | 18.8704 |
| 1.3826        | 17.0  | 1020 | 1.5303          | 40.4807 | 21.8633 | 35.5338 | 36.2185   | 18.8519 |
| 1.3826        | 18.0  | 1080 | 1.5288          | 40.8854 | 22.6821 | 36.0638 | 36.8444   | 18.7778 |
| 1.3826        | 19.0  | 1140 | 1.5306          | 40.739  | 22.393  | 35.9189 | 36.4907   | 18.9815 |
| 1.3826        | 20.0  | 1200 | 1.5291          | 40.739  | 22.393  | 35.9189 | 36.4907   | 18.9815 |


### Framework versions

- Transformers 4.52.3
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.1