---
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: Text_Summarization_model_12042024
  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. -->

# Text_Summarization_model_12042024

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: 1.5629
- Rouge1: 0.2385
- Rouge2: 0.19
- Rougel: 0.2296
- Rougelsum: 0.2296
- 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: 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: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 1.8769        | 1.0   | 4691  | 1.6645          | 0.2336 | 0.1826 | 0.2236 | 0.2236    | 19.0    |
| 1.826         | 2.0   | 9382  | 1.5972          | 0.2367 | 0.1869 | 0.2273 | 0.2273    | 19.0    |
| 1.7617        | 3.0   | 14073 | 1.5720          | 0.2384 | 0.1898 | 0.2294 | 0.2294    | 19.0    |
| 1.7664        | 4.0   | 18764 | 1.5629          | 0.2385 | 0.19   | 0.2296 | 0.2296    | 19.0    |


### Framework versions

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