---
license: apache-2.0
base_model: t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: pargraphs_titlesV1.0
  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. -->

# pargraphs_titlesV1.0

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2697
- Rouge1: 68.705
- Rouge2: 54.5204
- Rougel: 67.7709
- Rougelsum: 67.7942
- Gen Len: 1401169535.5

## 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: 4e-05
- train_batch_size: 4
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len      |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:------------:|
| 0.347         | 0.44  | 100  | 0.2634          | 65.1158 | 48.282  | 63.708  | 63.7424   | 1401169536.0 |
| 0.2412        | 0.88  | 200  | 0.3167          | 66.0958 | 50.4705 | 65.1041 | 65.1412   | 1401169536.0 |
| 0.2069        | 1.32  | 300  | 0.2357          | 68.6707 | 53.5945 | 67.3654 | 67.371    | 1401169536.0 |
| 0.1825        | 1.76  | 400  | 0.3932          | 65.7022 | 51.08   | 64.9927 | 65.0322   | 1401169536.0 |
| 0.1643        | 2.2   | 500  | 0.2223          | 69.132  | 54.5176 | 67.881  | 67.8987   | 1401169535.0 |
| 0.1715        | 2.64  | 600  | 0.2227          | 69.2258 | 54.2845 | 68.0181 | 68.0404   | 1401169535.5 |
| 0.1571        | 3.08  | 700  | 0.2707          | 68.9908 | 54.7777 | 68.1279 | 68.151    | 1401169536.0 |
| 0.1584        | 3.52  | 800  | 0.2193          | 70.9126 | 56.4866 | 69.6718 | 69.6687   | 1401169535.5 |
| 0.1565        | 3.96  | 900  | 0.3482          | 68.6691 | 54.8446 | 67.796  | 67.8541   | 1401169536.0 |
| 0.155         | 4.4   | 1000 | 0.2694          | 69.1457 | 55.1123 | 68.2207 | 68.2543   | 1401169536.0 |
| 0.1586        | 4.84  | 1100 | 0.2697          | 68.705  | 54.5204 | 67.7709 | 67.7942   | 1401169535.5 |


### Framework versions

- Transformers 4.36.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.15.0