---
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: 2.3362
- Rouge1: 0.4154
- Rouge2: 0.1753
- Rougel: 0.2649
- Rougelsum: 0.2649
- Gen Len: 282.3387

## 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  | 2.4013          | 0.4053 | 0.1691 | 0.2482 | 0.2483    | 258.871  |
| No log        | 2.0   | 248  | 2.3594          | 0.4097 | 0.173  | 0.2596 | 0.2596    | 279.121  |
| No log        | 3.0   | 372  | 2.3435          | 0.416  | 0.1757 | 0.2663 | 0.2661    | 284.6048 |
| No log        | 4.0   | 496  | 2.3362          | 0.4154 | 0.1753 | 0.2649 | 0.2649    | 282.3387 |


### Framework versions

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