metadata
license: apache-2.0
language:
- es
- en
base_model: vgaraujov/t5-base-spanish
tags:
- generated_from_trainer
datasets:
- vgaraujov/wmt13
metrics:
- bleu
model-index:
- name: t5-base-translation-es-en
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: 29.7546
widget:
- text: Hola, soy T5S para traducci贸n.
T5S (base-sized model) for es-en 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: 1.2055
- Bleu: 29.7546
- Gen Len: 48.1618
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