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---
license: apache-2.0
base_model: t5-base
tags:
- translation
- generated_from_trainer
metrics:
- sacrebleu
model-index:
- name: t5_base_fine_tuned_synthetic_en_de
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_fine_tuned_synthetic_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: 0.3255
- Sacrebleu: 34.6747
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:---------:|
| 0.454 | 1.0 | 945 | 0.2922 | 34.8635 |
| 0.0474 | 2.0 | 1890 | 0.3058 | 34.8379 |
| 0.0421 | 3.0 | 2835 | 0.3144 | 34.8678 |
| 0.039 | 4.0 | 3780 | 0.3234 | 34.7021 |
| 0.0369 | 5.0 | 4725 | 0.3255 | 34.6747 |
### Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.14.1
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