---
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5_sum_finetuned
  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_sum_finetuned

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: 2.4819
- Rouge1: 0.0788
- Rouge2: 0.0328
- Rougel: 0.0672
- Rougelsum: 0.0671
- 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: 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: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 124  | 2.7265          | 0.0686 | 0.0249 | 0.0584 | 0.0584    | 19.0    |
| No log        | 2.0   | 248  | 2.5507          | 0.0741 | 0.0287 | 0.0637 | 0.0638    | 19.0    |
| No log        | 3.0   | 372  | 2.4985          | 0.0779 | 0.0324 | 0.067  | 0.0668    | 19.0    |
| No log        | 4.0   | 496  | 2.4819          | 0.0788 | 0.0328 | 0.0672 | 0.0671    | 19.0    |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2