transformers pytorch t5 text2text-generation summarization generated_from_trainer base_model:google-t5/t5-small base_model:finetune:google-t5/t5-small license:apache-2.0 autotrain_compatible text-generation-inference endpoints_compatible region:us
---
base_model: t5-small
license: apache-2.0
metrics:
- rouge
tags:
- summarization
- generated_from_trainer
model-index:
- name: t5-small-destination-inference
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# t5-small-destination-inference

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6668
- Rouge1: 25.6235
- Rouge2: 0.0
- Rougel: 25.6064
- Rougelsum: 25.6064

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|
| 2.6932        | 1.0   | 2927  | 2.0668          | 19.9009 | 0.0    | 19.9009 | 19.8838   |
| 2.1793        | 2.0   | 5854  | 1.8923          | 22.2668 | 0.0    | 22.2583 | 22.2412   |
| 2.0209        | 3.0   | 8781  | 1.8088          | 23.1807 | 0.0    | 23.1893 | 23.1978   |
| 1.9254        | 4.0   | 11708 | 1.7439          | 24.5815 | 0.0    | 24.5815 | 24.5815   |
| 1.8585        | 5.0   | 14635 | 1.7105          | 24.7865 | 0.0    | 24.7865 | 24.7865   |
| 1.814         | 6.0   | 17562 | 1.6863          | 25.2989 | 0.0    | 25.316  | 25.2989   |
| 1.781         | 7.0   | 20489 | 1.6730          | 25.3844 | 0.0    | 25.3844 | 25.3502   |
| 1.7679        | 8.0   | 23416 | 1.6668          | 25.6235 | 0.0    | 25.6064 | 25.6064   |


### Framework versions

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