---
license: apache-2.0
base_model: t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: T5_base_title
  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

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: 2.0487
- Rouge1: 0.3848
- Rouge2: 0.1901
- Rougel: 0.3297
- Rougelsum: 0.3288
- Gen Len: 16.795

## 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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 200  | 2.0966          | 0.3525 | 0.165  | 0.2921 | 0.2934    | 17.4    |
| No log        | 2.0   | 400  | 2.0533          | 0.3706 | 0.1775 | 0.3145 | 0.3147    | 16.52   |
| 2.2032        | 3.0   | 600  | 2.0453          | 0.3754 | 0.1867 | 0.3226 | 0.3227    | 16.68   |
| 2.2032        | 4.0   | 800  | 2.0383          | 0.379  | 0.1887 | 0.3246 | 0.3243    | 16.36   |
| 1.8535        | 5.0   | 1000 | 2.0376          | 0.3849 | 0.1881 | 0.3269 | 0.3267    | 16.755  |
| 1.8535        | 6.0   | 1200 | 2.0416          | 0.378  | 0.1792 | 0.3236 | 0.3228    | 16.84   |
| 1.8535        | 7.0   | 1400 | 2.0445          | 0.3805 | 0.1848 | 0.3249 | 0.3248    | 16.65   |
| 1.692         | 8.0   | 1600 | 2.0484          | 0.3876 | 0.187  | 0.3289 | 0.3285    | 16.845  |
| 1.692         | 9.0   | 1800 | 2.0473          | 0.3891 | 0.1912 | 0.3325 | 0.332     | 16.815  |
| 1.6276        | 10.0  | 2000 | 2.0487          | 0.3848 | 0.1901 | 0.3297 | 0.3288    | 16.795  |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2