---
license: apache-2.0
tags:
- simplification
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-base-clara-med
  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-base-clara-med

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: 1.2902
- Rouge1: 28.2733
- Rouge2: 15.323
- Rougel: 26.1421
- Rougelsum: 26.1589

## 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: 5.6e-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: 30

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| No log        | 1.0   | 380   | 1.4639          | 26.4167 | 14.2257 | 24.5659 | 24.5948   |
| No log        | 2.0   | 760   | 1.3946          | 26.7094 | 14.6358 | 25.0516 | 25.075    |
| 1.6466        | 3.0   | 1140  | 1.3480          | 27.3758 | 14.6821 | 25.5935 | 25.6007   |
| 1.6466        | 4.0   | 1520  | 1.3221          | 28.0769 | 14.9721 | 26.131  | 26.1506   |
| 1.3671        | 5.0   | 1900  | 1.2988          | 27.8019 | 14.9244 | 25.8242 | 25.8322   |
| 1.3671        | 6.0   | 2280  | 1.2965          | 27.9071 | 15.3235 | 26.1385 | 26.104    |
| 1.3671        | 7.0   | 2660  | 1.2802          | 28.1866 | 15.4793 | 26.301  | 26.3031   |
| 1.2248        | 8.0   | 3040  | 1.2733          | 27.9974 | 15.4379 | 26.1087 | 26.1159   |
| 1.2248        | 9.0   | 3420  | 1.2591          | 28.2545 | 15.5006 | 26.2812 | 26.3306   |
| 1.1155        | 10.0  | 3800  | 1.2609          | 27.8029 | 15.0837 | 25.7989 | 25.8486   |
| 1.1155        | 11.0  | 4180  | 1.2612          | 27.676  | 15.0786 | 25.6261 | 25.6458   |
| 1.1155        | 12.0  | 4560  | 1.2616          | 27.6811 | 15.0935 | 25.6905 | 25.7125   |
| 1.0337        | 13.0  | 4940  | 1.2562          | 27.88   | 15.2395 | 25.8875 | 25.8988   |
| 1.0337        | 14.0  | 5320  | 1.2624          | 27.9858 | 15.2151 | 25.9785 | 26.0226   |
| 0.9784        | 15.0  | 5700  | 1.2674          | 28.044  | 15.1312 | 25.8866 | 25.9514   |
| 0.9784        | 16.0  | 6080  | 1.2588          | 28.1022 | 15.3599 | 26.0641 | 26.0762   |
| 0.9784        | 17.0  | 6460  | 1.2676          | 27.864  | 15.1432 | 25.8981 | 25.9221   |
| 0.9246        | 18.0  | 6840  | 1.2620          | 27.8826 | 15.1457 | 25.8041 | 25.8971   |
| 0.9246        | 19.0  | 7220  | 1.2671          | 27.965  | 15.0059 | 25.94   | 25.9831   |
| 0.8891        | 20.0  | 7600  | 1.2733          | 28.3035 | 15.3041 | 26.2411 | 26.2723   |
| 0.8891        | 21.0  | 7980  | 1.2748          | 28.5205 | 15.4851 | 26.4543 | 26.4725   |
| 0.8891        | 22.0  | 8360  | 1.2793          | 28.3018 | 15.3251 | 26.2781 | 26.3203   |
| 0.8578        | 23.0  | 8740  | 1.2788          | 28.039  | 15.238  | 25.9371 | 25.9856   |
| 0.8578        | 24.0  | 9120  | 1.2901          | 28.3312 | 15.3396 | 26.1722 | 26.1993   |
| 0.8299        | 25.0  | 9500  | 1.2863          | 28.0727 | 15.0182 | 25.91   | 25.9577   |
| 0.8299        | 26.0  | 9880  | 1.2845          | 28.1828 | 15.1338 | 26.039  | 26.0493   |
| 0.8299        | 27.0  | 10260 | 1.2819          | 28.1547 | 15.091  | 26.0256 | 26.0346   |
| 0.8137        | 28.0  | 10640 | 1.2859          | 28.2203 | 15.3225 | 26.1493 | 26.1591   |
| 0.8137        | 29.0  | 11020 | 1.2902          | 28.2459 | 15.3142 | 26.1283 | 26.1382   |
| 0.8061        | 30.0  | 11400 | 1.2902          | 28.2733 | 15.323  | 26.1421 | 26.1589   |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.0
- Datasets 2.8.0
- Tokenizers 0.12.1