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umt5-base-finetuned-model – AI Model by ignaciovillanueva | AlphaNeural AI

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ignaciovillanueva/
umt5-base-finetuned-model

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text2text-generation

generated_from_trainer

google/umt5-base

endpoints_compatible

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umt5-base-finetuned-model

This model is a fine-tuned version of google/umt5-base on the None dataset.

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: 12
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
training_steps: 100

Training results

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1