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phobert-multitask-grade-subject-v0.1 – AI Model by presencesw | AlphaNeural AI
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phobert-multitask-grade-subject-v0.1
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transformers
safetensors
phobert-multitask
generated_from_trainer
vinai/phobert-base-v2
finetune
agpl-3.0
endpoints_compatible
us
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phobert-multitask-grade-subject
This model is a fine-tuned version of
vinai/phobert-base-v2
on an unknown 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: 16
eval_batch_size: 32
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
training_steps: 100
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.57.3
Pytorch 2.9.1+cu128
Datasets 4.4.1
Tokenizers 0.22.1
