---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-small-finetuned-vehidefe
  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-small-finetuned-vehidefe

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: 1.2321
- Rouge1: 0.5062
- Rouge2: 0.129
- Rougel: 0.4421
- Rougelsum: 0.4549
- Gen Len: 0.6333

## 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: 6

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 27   | 6.3138          | 52.0293 | 34.0296 | 48.1309 | 48.2154   | 15.7417 |
| No log        | 2.0   | 54   | 2.5506          | 38.203  | 24.615  | 35.4364 | 35.5338   | 12.3    |
| No log        | 3.0   | 81   | 1.4362          | 9.2948  | 5.4495  | 8.4841  | 8.6202    | 4.4583  |
| No log        | 4.0   | 108  | 1.2562          | 2.9686  | 1.4036  | 2.6236  | 2.7085    | 1.8917  |
| No log        | 5.0   | 135  | 1.2336          | 0.9124  | 0.248   | 0.8012  | 0.8077    | 0.95    |
| No log        | 6.0   | 162  | 1.2321          | 0.5062  | 0.129   | 0.4421  | 0.4549    | 0.6333  |


### Framework versions

- Transformers 4.30.0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.13.3