---
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: TextSummarizerAI_Basic_v1
  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. -->

# TextSummarizerAI_Basic_v1

This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3319
- Rouge1: 0.1985
- Rouge2: 0.1019
- Rougel: 0.1702
- Rougelsum: 0.17
- Gen Len: 19.0

## 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: 16
- eval_batch_size: 16
- 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   | 62   | 2.7851          | 0.1315 | 0.0434 | 0.1122 | 0.1124    | 19.0    |
| No log        | 2.0   | 124  | 2.5568          | 0.1442 | 0.0559 | 0.1197 | 0.1193    | 19.0    |
| No log        | 3.0   | 186  | 2.4669          | 0.1536 | 0.062  | 0.127  | 0.1268    | 19.0    |
| No log        | 4.0   | 248  | 2.4149          | 0.1768 | 0.0786 | 0.1472 | 0.1472    | 19.0    |
| No log        | 5.0   | 310  | 2.3847          | 0.1947 | 0.0959 | 0.1653 | 0.1651    | 19.0    |
| No log        | 6.0   | 372  | 2.3634          | 0.1973 | 0.0999 | 0.1691 | 0.1688    | 19.0    |
| No log        | 7.0   | 434  | 2.3487          | 0.1981 | 0.1017 | 0.1704 | 0.1703    | 19.0    |
| No log        | 8.0   | 496  | 2.3404          | 0.1982 | 0.102  | 0.1706 | 0.1703    | 19.0    |
| 2.7541        | 9.0   | 558  | 2.3333          | 0.199  | 0.1024 | 0.1711 | 0.1709    | 19.0    |
| 2.7541        | 10.0  | 620  | 2.3319          | 0.1985 | 0.1019 | 0.1702 | 0.17      | 19.0    |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2