---
license: apache-2.0
base_model: t5-base
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-base-destination-inference
  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-base-destination-inference

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4240
- Rouge1: 29.0369
- Rouge2: 0.0
- Rougel: 29.0007
- Rougelsum: 28.9826

## 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: 5.6e-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: 8

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|
| 2.1788        | 1.0   | 2762  | 1.6737          | 21.7686 | 0.0    | 21.7958 | 21.7596   |
| 1.7176        | 2.0   | 5524  | 1.5569          | 24.6017 | 0.0    | 24.6017 | 24.5474   |
| 1.556         | 3.0   | 8286  | 1.4978          | 26.05   | 0.0    | 26.05   | 26.0319   |
| 1.4456        | 4.0   | 11048 | 1.4613          | 26.937  | 0.0    | 26.937  | 26.8827   |
| 1.3661        | 5.0   | 13810 | 1.4351          | 28.2223 | 0.0    | 28.2223 | 28.2042   |
| 1.3045        | 6.0   | 16572 | 1.4196          | 27.9508 | 0.0    | 27.9146 | 27.8965   |
| 1.2519        | 7.0   | 19334 | 1.4211          | 28.8559 | 0.0    | 28.8378 | 28.8197   |
| 1.2262        | 8.0   | 22096 | 1.4240          | 29.0369 | 0.0    | 29.0007 | 28.9826   |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.5
- Tokenizers 0.14.1