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

# flan-t5-rouge-durga-2

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: 0.0015
- Rouge1: 0.4073
- Rouge2: 0.3631
- Rougel: 0.4076
- Rougelsum: 0.4081

## 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: 0.0003
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| 3.6674        | 1.0   | 85   | 1.9307          | 0.2328 | 0.1210 | 0.2076 | 0.2079    |
| 2.8171        | 2.0   | 170  | 1.5796          | 0.2548 | 0.1280 | 0.2250 | 0.2246    |
| 2.1491        | 3.0   | 255  | 1.2905          | 0.2604 | 0.1445 | 0.2384 | 0.2376    |
| 1.4061        | 4.0   | 340  | 1.0662          | 0.2631 | 0.1474 | 0.2447 | 0.2446    |
| 1.0805        | 5.0   | 425  | 0.8724          | 0.2631 | 0.1479 | 0.2417 | 0.2417    |
| 1.4852        | 6.0   | 510  | 0.7009          | 0.2861 | 0.1735 | 0.2718 | 0.2716    |
| 1.7677        | 7.0   | 595  | 0.5283          | 0.2842 | 0.1876 | 0.2710 | 0.2708    |
| 0.5014        | 8.0   | 680  | 0.3990          | 0.3142 | 0.2208 | 0.3011 | 0.3015    |
| 1.5085        | 9.0   | 765  | 0.3122          | 0.3371 | 0.2522 | 0.3254 | 0.3255    |
| 0.7696        | 10.0  | 850  | 0.2204          | 0.3537 | 0.2695 | 0.3423 | 0.3418    |
| 0.7834        | 11.0  | 935  | 0.1808          | 0.3596 | 0.2813 | 0.3492 | 0.3491    |
| 0.5238        | 12.0  | 1020 | 0.1300          | 0.3723 | 0.3043 | 0.3674 | 0.3674    |
| 0.4623        | 13.0  | 1105 | 0.0940          | 0.3754 | 0.3166 | 0.3716 | 0.3716    |
| 0.3645        | 14.0  | 1190 | 0.0679          | 0.3752 | 0.3149 | 0.3715 | 0.3727    |
| 0.319         | 15.0  | 1275 | 0.0466          | 0.3902 | 0.3372 | 0.3888 | 0.3895    |
| 0.1117        | 16.0  | 1360 | 0.0375          | 0.3945 | 0.3409 | 0.3928 | 0.3932    |
| 0.1975        | 17.0  | 1445 | 0.0274          | 0.4010 | 0.3537 | 0.4002 | 0.4007    |
| 0.2396        | 18.0  | 1530 | 0.0254          | 0.3985 | 0.3525 | 0.3976 | 0.3976    |
| 0.3832        | 19.0  | 1615 | 0.0156          | 0.3976 | 0.3482 | 0.3963 | 0.3970    |
| 0.2136        | 20.0  | 1700 | 0.0118          | 0.3998 | 0.3524 | 0.3996 | 0.4000    |
| 0.1789        | 21.0  | 1785 | 0.0115          | 0.4022 | 0.3568 | 0.4020 | 0.4027    |
| 0.0027        | 22.0  | 1870 | 0.0082          | 0.4047 | 0.3593 | 0.4051 | 0.4057    |
| 0.2978        | 23.0  | 1955 | 0.0070          | 0.4028 | 0.3578 | 0.4032 | 0.4036    |
| 0.1529        | 24.0  | 2040 | 0.0053          | 0.4075 | 0.3625 | 0.4078 | 0.4083    |
| 0.0584        | 25.0  | 2125 | 0.0044          | 0.4073 | 0.3621 | 0.4075 | 0.4081    |
| 0.0669        | 26.0  | 2210 | 0.0030          | 0.4071 | 0.3625 | 0.4073 | 0.4078    |
| 0.2968        | 27.0  | 2295 | 0.0021          | 0.4073 | 0.3625 | 0.4074 | 0.4080    |
| 0.072         | 28.0  | 2380 | 0.0018          | 0.4073 | 0.3625 | 0.4074 | 0.4080    |
| 0.1676        | 29.0  | 2465 | 0.0016          | 0.4073 | 0.3631 | 0.4076 | 0.4081    |
| 0.1567        | 30.0  | 2550 | 0.0015          | 0.4073 | 0.3631 | 0.4076 | 0.4081    |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1