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PhoLexiContent-1000 – AI Model by ace-in-the-hole | AlphaNeural AI

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ace-in-the-hole/
PhoLexiContent-1000

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generated_from_trainer

vinai/phobert-base-v2

endpoints_compatible

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PhoLexiContent-1000

This model is a fine-tuned version of vinai/phobert-base-v2 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: 2e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 20

Training results

Framework versions

Transformers 4.45.1
Pytorch 2.4.0
Datasets 3.0.1
Tokenizers 0.20.0