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

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: 1.2260
- Rouge1: 0.3205
- Rouge2: 0.0694
- Rougel: 0.2564
- Rougelsum: 0.2564
- Gen Len: 0.3167

## 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: 20
- eval_batch_size: 20
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 21   | 3.7438          | 48.9925 | 32.0494 | 45.5108 | 45.2375   | 15.0417 |
| No log        | 2.0   | 42   | 1.7784          | 19.2369 | 11.715  | 17.4777 | 17.7156   | 7.2583  |
| No log        | 3.0   | 63   | 1.3420          | 7.208   | 4.3119  | 6.7668  | 6.9177    | 3.5083  |
| No log        | 4.0   | 84   | 1.2382          | 2.1269  | 0.8562  | 1.8271  | 1.8788    | 1.575   |
| No log        | 5.0   | 105  | 1.2285          | 0.5256  | 0.119   | 0.4615  | 0.4615    | 0.6333  |
| No log        | 6.0   | 126  | 1.2277          | 0.3647  | 0.0694  | 0.2564  | 0.3006    | 0.475   |
| No log        | 7.0   | 147  | 1.2260          | 0.3205  | 0.0694  | 0.2564  | 0.2564    | 0.3167  |
| No log        | 8.0   | 168  | 1.2260          | 0.3205  | 0.0694  | 0.2564  | 0.2564    | 0.3167  |


### Framework versions

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