---
library_name: transformers
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-rouge-durga-q5-2
  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-q5-2

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: 0.0003
- Rouge1: 0.4074
- Rouge2: 0.3623
- Rougel: 0.4073
- Rougelsum: 0.4069

## 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: Use 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: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| 1.7277        | 1.0   | 170  | 1.6638          | 0.2259 | 0.1090 | 0.2030 | 0.2028    |
| 1.3022        | 2.0   | 340  | 1.2132          | 0.2330 | 0.1179 | 0.2093 | 0.2098    |
| 0.6794        | 3.0   | 510  | 0.8780          | 0.2513 | 0.1356 | 0.2275 | 0.2272    |
| 0.8604        | 4.0   | 680  | 0.6176          | 0.2754 | 0.1583 | 0.2487 | 0.2488    |
| 0.7036        | 5.0   | 850  | 0.4172          | 0.2856 | 0.1794 | 0.2654 | 0.2649    |
| 1.1999        | 6.0   | 1020 | 0.2687          | 0.2964 | 0.2057 | 0.2832 | 0.2827    |
| 0.5163        | 7.0   | 1190 | 0.1663          | 0.3011 | 0.2204 | 0.2913 | 0.2907    |
| 0.4279        | 8.0   | 1360 | 0.1198          | 0.3225 | 0.2403 | 0.3127 | 0.3123    |
| 0.0776        | 9.0   | 1530 | 0.0814          | 0.3335 | 0.2551 | 0.3241 | 0.3227    |
| 0.3049        | 10.0  | 1700 | 0.0485          | 0.3348 | 0.2651 | 0.3244 | 0.3240    |
| 0.1698        | 11.0  | 1870 | 0.0325          | 0.3505 | 0.2912 | 0.3459 | 0.3448    |
| 0.0392        | 12.0  | 2040 | 0.0258          | 0.3602 | 0.3025 | 0.3569 | 0.3569    |
| 0.0872        | 13.0  | 2210 | 0.0229          | 0.3714 | 0.3169 | 0.3697 | 0.3690    |
| 0.3979        | 14.0  | 2380 | 0.0141          | 0.3778 | 0.3236 | 0.3764 | 0.3758    |
| 0.1664        | 15.0  | 2550 | 0.0094          | 0.3897 | 0.3392 | 0.3890 | 0.3881    |
| 0.1912        | 16.0  | 2720 | 0.0065          | 0.3936 | 0.3441 | 0.3929 | 0.3921    |
| 0.1382        | 17.0  | 2890 | 0.0052          | 0.4003 | 0.3521 | 0.4003 | 0.3997    |
| 0.0843        | 18.0  | 3060 | 0.0028          | 0.4010 | 0.3541 | 0.4010 | 0.4008    |
| 0.307         | 19.0  | 3230 | 0.0023          | 0.4046 | 0.3585 | 0.4049 | 0.4042    |
| 0.0365        | 20.0  | 3400 | 0.0017          | 0.4052 | 0.3599 | 0.4056 | 0.4049    |
| 0.0067        | 21.0  | 3570 | 0.0014          | 0.4045 | 0.3588 | 0.4051 | 0.4044    |
| 0.0326        | 22.0  | 3740 | 0.0013          | 0.4055 | 0.3595 | 0.4059 | 0.4054    |
| 0.0979        | 23.0  | 3910 | 0.0009          | 0.4067 | 0.3613 | 0.4066 | 0.4062    |
| 0.001         | 24.0  | 4080 | 0.0005          | 0.4071 | 0.3618 | 0.4070 | 0.4066    |
| 0.0119        | 25.0  | 4250 | 0.0006          | 0.4064 | 0.3614 | 0.4067 | 0.4059    |
| 0.0481        | 26.0  | 4420 | 0.0003          | 0.4074 | 0.3623 | 0.4073 | 0.4069    |
| 0.0051        | 27.0  | 4590 | 0.0004          | 0.4074 | 0.3623 | 0.4073 | 0.4069    |
| 0.0053        | 28.0  | 4760 | 0.0003          | 0.4074 | 0.3623 | 0.4073 | 0.4069    |
| 0.0274        | 29.0  | 4930 | 0.0003          | 0.4074 | 0.3623 | 0.4073 | 0.4069    |
| 0.0129        | 30.0  | 5100 | 0.0003          | 0.4074 | 0.3623 | 0.4073 | 0.4069    |


### Framework versions

- Transformers 4.46.0
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.20.1