|
--- |
|
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 |
