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---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
datasets:
- kde4
model-index:
- name: t5-small-finetuned-en-to-de-accelerate
results: []
metrics:
- sacrebleu
pipeline_tag: translation
language:
- en
- de
---
<!-- 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-small-finetuned-en-to-de-accelerate translator
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the kde4 dataset.
It achieves the following results on the evaluation set:
- SacreBELU : 41.46
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
Accelerate
### Training hyperparameters
The following hyperparameters were used during training:
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: AdamW with lr=5e-5
- lr_scheduler_type: linear
- num_epochs: 3.0
### Training results
| Training Loss | Epoch | Validation Loss | BLEU score |
|:-------------------:|:-----:|:------------------:|:-------------:|
| 1.5908938944803344 | 1.0 | 1.2350984811782837 | 39.82 |
| 1.3603184403975805 | 2.0 | 1.1676584482192993 | 41.05 |
| 1.3098205064204005 | 3.0 | 1.1546192169189453 | 41.46 |
Graph : https://wandb.ai/tchoud8/t5-finetuned-en-to-fr-accelerate/runs/bnzjma7v/workspace?workspace=user-tchoud8
### Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3 |