mt5-small-translation-en2vi

harouzie/mt5-small-translation-en2vi

mt5-small-translation-en2vi is a machine learning model from harouzie. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Library: transformers
License: apache-2.0
Model type: mt5
Access: Public
Created: Sep 11, 2023
Updated: Sep 14, 2023
SHA: 52ada2de

Base models

google/mt5-small

Model card

From the Hugging Face model README

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: 1.5244
Bleu: 10.0212
Gen Len: 15.7035

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
2.331	1.0	6352	1.5244	10.0212	15.7035

Framework versions

Transformers 4.33.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3

Library: transformers
Type: mt5
License: apache-2.0
Created: Sep 11, 2023
Updated: Sep 14, 2023