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

# t5-base-title-generator

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: 2.4868
- Rouge1: 0.3081
- Rouge2: 0.1537
- Rougel: 0.2841
- Rougelsum: 0.2852
- Gen Len: 11.9484

## 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: 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: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 2.0744        | 0.12  | 100  | 2.5949          | 0.3025 | 0.15   | 0.2779 | 0.2786    | 12.6474 |
| 2.1587        | 0.23  | 200  | 2.5878          | 0.3063 | 0.1511 | 0.2795 | 0.2804    | 12.3068 |
| 2.1679        | 0.35  | 300  | 2.5843          | 0.3093 | 0.1543 | 0.284  | 0.285     | 12.3002 |
| 2.5576        | 0.47  | 400  | 2.5186          | 0.3032 | 0.1508 | 0.2794 | 0.2805    | 12.3258 |
| 2.6485        | 0.58  | 500  | 2.4981          | 0.3109 | 0.1548 | 0.2863 | 0.2875    | 12.1055 |
| 2.8094        | 0.7   | 600  | 2.4899          | 0.3091 | 0.1543 | 0.2846 | 0.2854    | 11.9767 |
| 2.571         | 0.82  | 700  | 2.4888          | 0.308  | 0.1536 | 0.2836 | 0.2845    | 12.0628 |
| 2.6264        | 0.93  | 800  | 2.4868          | 0.3081 | 0.1537 | 0.2841 | 0.2852    | 11.9484 |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1