umt5-base-quechua-espanol-finetuned-model-v2

ignaciovillanueva/umt5-base-quechua-espanol-finetuned-model-v2

umt5-base-quechua-espanol-finetuned-model-v2 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: c5ad43c1

Base models

google/umt5-base

Model card

From the Hugging Face model README

umt5-base-quechua-espanol-finetuned-model-v2

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: 1.4914

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: 2

Training results

Training Loss	Epoch	Step	Validation Loss
3.0956	0.2259	1000	2.5133
2.5227	0.4518	2000	2.1119
2.2631	0.6777	3000	1.8845
2.0653	0.9035	4000	1.7568
1.899	1.1294	5000	1.6684
1.8405	1.3553	6000	1.5924
1.7622	1.5812	7000	1.5415
1.7167	1.8071	8000	1.4914

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