Model-es-qu

iBarb/Model-es-qu

Model-es-qu is a machine learning model from iBarb. 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: marian
Access: Public
Created: Aug 1, 2024
Updated: Aug 3, 2024
SHA: 8dfc29d3

Base models

Helsinki-NLP/opus-mt-es-en

Model card

From the Hugging Face model README

Model-es-qu

This model is a fine-tuned version of Helsinki-NLP/opus-mt-es-en on an unknown dataset. It achieves the following results on the evaluation set:

BLEU: 15.47193377563526
chrF: 49.809088254243925
Loss: 0.2958

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: 0.00014023977100100803
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 16
num_epochs: 6
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.3983	1.0	6422	0.3643
0.3285	2.0	12844	0.3257
0.2908	3.0	19266	0.3065
0.2537	4.0	25688	0.2981
0.2203	5.0	32110	0.2943
0.1969	6.0	38532	0.2958

Framework versions

Transformers 4.43.3
Pytorch 2.4.0+cu118
Datasets 2.20.0
Tokenizers 0.19.1

Library: transformers
Type: marian
License: apache-2.0
Created: Aug 1, 2024
Updated: Aug 3, 2024