---
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 unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2005
- Rouge1: 73.7352
- Rouge2: 65.6464
- Rougel: 72.5004
- Rougelsum: 73.5633
- Gen Len: 16.2793

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 0.4137        | 0.85  | 200  | 0.2799          | 71.5649 | 62.1166 | 70.2942 | 71.4139   | 16.4072 |
| 0.2614        | 1.7   | 400  | 0.2634          | 73.0795 | 63.9831 | 71.8233 | 72.9432   | 16.2217 |
| 0.2396        | 2.55  | 600  | 0.2147          | 73.0266 | 64.1461 | 71.8748 | 72.8353   | 16.2516 |
| 0.2128        | 3.4   | 800  | 0.2130          | 73.3643 | 64.7286 | 72.1957 | 73.2775   | 16.2473 |
| 0.188         | 4.26  | 1000 | 0.2106          | 73.632  | 64.8732 | 72.3219 | 73.4369   | 16.2751 |
| 0.1737        | 5.11  | 1200 | 0.2027          | 73.2334 | 64.2004 | 72.084  | 73.1345   | 16.2068 |
| 0.1649        | 5.96  | 1400 | 0.2037          | 73.7358 | 64.8953 | 72.5475 | 73.6218   | 16.2345 |
| 0.1543        | 6.81  | 1600 | 0.2012          | 73.7211 | 65.1263 | 72.527  | 73.6729   | 16.2665 |
| 0.1485        | 7.66  | 1800 | 0.2032          | 73.7563 | 65.5173 | 72.6785 | 73.6162   | 16.2473 |
| 0.1482        | 8.51  | 2000 | 0.2010          | 73.9481 | 65.4549 | 72.8475 | 73.7871   | 16.2921 |
| 0.1471        | 9.36  | 2200 | 0.2005          | 73.7352 | 65.6464 | 72.5004 | 73.5633   | 16.2793 |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1
- Datasets 2.14.5
- Tokenizers 0.13.3