metadata

license: apache-2.0
base_model: google/mt5-small
tags:
  - generated_from_trainer
metrics:
  - bleu
model-index:
  - name: mt5-small-translation-en2vi
    results: []

mt5-small-translation-en2vi

This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 28.2309
Bleu: 0.0419
Gen Len: 2.1457

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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
No log	1.0	8	27.9017	0.0122	2.1622

Framework versions

Transformers 4.33.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3