---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-base-srbd
  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-srbd

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an [srbd1_v2_annotated_segmented](https://huggingface.co/datasets/Lancelot53/srbd1_v2_annotated_segmented).
It achieves the following results on the evaluation set:
- Loss: 0.2061
- Rouge1: 73.9926
- Rouge2: 65.6762
- Rougel: 73.0659
- Rougelsum: 73.9428
- Gen Len: 15.7754

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 11.6626       | 0.86  | 200  | 0.5153          | 51.3405 | 41.8375 | 50.9028 | 51.2567   | 7.5616  |
| 0.4412        | 1.72  | 400  | 0.2881          | 73.5628 | 64.0434 | 72.4555 | 73.42     | 15.7495 |
| 0.3127        | 2.59  | 600  | 0.2365          | 73.3305 | 64.0389 | 72.3218 | 73.2283   | 15.6328 |
| 0.2683        | 3.45  | 800  | 0.2397          | 73.6254 | 64.704  | 72.6818 | 73.5721   | 15.8272 |
| 0.2462        | 4.31  | 1000 | 0.2197          | 73.8635 | 65.1757 | 72.8344 | 73.6793   | 15.7235 |
| 0.2206        | 5.17  | 1200 | 0.2142          | 74.0454 | 65.5104 | 73.1022 | 73.9321   | 15.8553 |
| 0.2073        | 6.03  | 1400 | 0.2087          | 73.8199 | 65.2791 | 72.8211 | 73.7232   | 15.743  |
| 0.1951        | 6.9   | 1600 | 0.2109          | 74.0189 | 65.1189 | 73.0456 | 73.9537   | 15.6782 |
| 0.1946        | 7.76  | 1800 | 0.2078          | 74.1418 | 65.7362 | 73.3347 | 74.0834   | 15.7775 |
| 0.1885        | 8.62  | 2000 | 0.2062          | 74.3159 | 65.8017 | 73.2801 | 74.0865   | 15.7905 |
| 0.1793        | 9.48  | 2200 | 0.2061          | 73.9926 | 65.6762 | 73.0659 | 73.9428   | 15.7754 |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3