metadata
license: apache-2.0
language:
- en
- es
base_model: vgaraujov/t5-base-spanish
tags:
- generated_from_trainer
datasets:
- vgaraujov/wmt13
metrics:
- bleu
model-index:
- name: t5-base-translation-en-es
results:
- task:
name: Translation
type: translation
dataset:
name: vgaraujov/wmt13 es-en
type: vgaraujov/wmt13
config: es-en
split: validation
args: es-en
metrics:
- name: Bleu
type: bleu
value: 30.6296
widget:
- text: Hey, I am T5S for translation.
T5S (base-sized model) for en-es translation
This model is a fine-tuned version of T5S on a small portion of WMT13 es-en dataset. It achieves the following results on the evaluation set:
- Loss: 1.7643
- Bleu: 30.6296
- Gen Len: 29.2701
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.005
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 12
- total_train_batch_size: 384
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 40000
- training_steps: 10000
Framework versions
- Transformers 4.33.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3