---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: GSOCt5-small-finetuned-t5_V1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# GSOCt5-small-finetuned-t5_V1

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6901
- Rouge1: 33.0453
- Rouge2: 23.5726
- Rougel: 30.4702
- Rougelsum: 31.6567
- Gen Len: 18.9571

## 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: 3e-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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 0.8364        | 1.0   | 631  | 0.6993          | 32.9852 | 23.5209 | 30.3671 | 31.5511   | 18.9518 |
| 0.8027        | 2.0   | 1262 | 0.6901          | 33.0453 | 23.5726 | 30.4702 | 31.6567   | 18.9571 |
| 0.7988        | 3.0   | 1893 | 0.6901          | 33.0453 | 23.5726 | 30.4702 | 31.6567   | 18.9571 |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3