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Vi-test2 – AI Model by HuyenNguyen | AlphaNeural AI

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HuyenNguyen/
Vi-test2

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text2text-generation

generated_from_trainer

text-generation-inference

endpoints_compatible

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Vi-test2

This model is a fine-tuned version of HuyenNguyen/Vi-test1 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: 1e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.05
num_epochs: 50
mixed_precision_training: Native AMP

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2