---
license: apache-2.0
base_model: t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: pargraphs_titles
  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_titles

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2408
- Rouge1: 68.8334
- Rouge2: 59.1001
- Rougel: 67.5283
- Rougelsum: 67.6312
- Gen Len: 13.7977

## 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
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 455  | 0.4086          | 56.8689 | 47.8503 | 56.3172 | 56.1544   | 13.7393 |
| 0.2169        | 2.0   | 910  | 0.1848          | 66.7857 | 58.5467 | 65.8133 | 65.7037   | 13.8604 |
| 0.1629        | 3.0   | 1365 | 0.1768          | 67.5534 | 59.4926 | 66.5736 | 66.5271   | 13.7222 |
| 0.1347        | 4.0   | 1820 | 0.2881          | 67.7423 | 58.9397 | 66.4095 | 66.5328   | 13.8362 |
| 0.1277        | 5.0   | 2275 | 0.2408          | 68.8334 | 59.1001 | 67.5283 | 67.6312   | 13.7977 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Tokenizers 0.15.0