---
base_model: Mprimus/T5-translation
tags:
- generated_from_trainer
metrics:
- rouge
- bleu
model-index:
- name: T5-translation
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# T5-translation

This model is a fine-tuned version of [Mprimus/T5-translation](https://huggingface.co/Mprimus/T5-translation) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2075
- Rouge1: 27.4428
- Rouge2: 16.9977
- Rougel: 27.161
- Rougelsum: 27.1588
- Bleu: 0.2188
- Gen Len: 14.5482

## 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: 80
- eval_batch_size: 80
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel | Rougelsum | Bleu   | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:------:|:---------:|:------:|:-------:|
| 0.2536        | 1.0   | 9727 | 0.2075          | 27.4428 | 16.9977 | 27.161 | 27.1588   | 0.2188 | 14.5482 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0