metadata

library_name: transformers
license: apache-2.0
base_model: google-t5/t5-small
tags:
  - translation
  - generated_from_trainer
metrics:
  - bleu
model-index:
  - name: t5-small-finetuned-english-to-hausa
    results: []

t5-small-finetuned-english-to-hausa

This model is a fine-tuned version of google-t5/t5-small on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.6792
Bleu: 64.4045
Gen Len: 14.4721

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: 0.0008
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
lr_scheduler_warmup_steps: 1000
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
2.5691	1.0	749	1.2064	49.1383	15.0242
1.0998	2.0	1498	0.7609	61.7452	14.4781
0.7625	3.0	2247	0.6792	64.4045	14.4721

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1