transformers safetensors t5 text2text-generation translation generated_from_trainer base_model:google-t5/t5-base base_model:finetune:google-t5/t5-base license:apache-2.0 autotrain_compatible text-generation-inference endpoints_compatible region:us
---
base_model: t5-base
license: apache-2.0
metrics:
- sacrebleu
tags:
- translation
- generated_from_trainer
model-index:
- name: t5_base_fine_tuned_opus_books_en_de
  results: []
---

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# t5_base_fine_tuned_opus_books_en_de

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: 0.2693
- Sacrebleu: 30.5457

## 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Sacrebleu |
|:-------------:|:-----:|:----:|:---------------:|:---------:|
| 0.9813        | 1.0   | 945  | 0.2616          | 32.3189   |
| 0.6188        | 2.0   | 1890 | 0.2653          | 31.6118   |
| 0.5944        | 3.0   | 2835 | 0.2680          | 30.8915   |
| 0.5798        | 4.0   | 3780 | 0.2690          | 30.7392   |
| 0.5741        | 5.0   | 4725 | 0.2693          | 30.5457   |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.14.1
