umt5-base-quechua-espanol-finetuned-model

ignaciovillanueva/umt5-base-quechua-espanol-finetuned-model

umt5-base-quechua-espanol-finetuned-model is a machine learning model from ignaciovillanueva. 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: umt5
Access: Public
Created: Jun 24, 2024
Updated: Jun 24, 2024
SHA: 35a4cccc

Base models

google/umt5-base

Model card

From the Hugging Face model README

umt5-base-quechua-espanol-finetuned-model

This model is a fine-tuned version of google/umt5-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.7343

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: 0.0002
train_batch_size: 22
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
5.1343	0.1581	700	2.7338
3.0956	0.3162	1400	2.3095
2.5227	0.4744	2100	2.0817
2.3735	0.6325	2800	1.9237
2.1474	0.7906	3500	1.8187
2.0653	0.9487	4200	1.7343

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Library: transformers
Type: umt5
License: apache-2.0
Created: Jun 24, 2024
Updated: Jun 24, 2024