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phobert_test_vmlu_history – AI Model by fiorane | AlphaNeural AI
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fiorane
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phobert_test_vmlu_history
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transformers
tensorboard
safetensors
roberta
multiple-choice
generated_from_trainer
vinai/phobert-base
finetune
mit
endpoints_compatible
us
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phobert_test_vmlu_history
This model is a fine-tuned version of
vinai/phobert-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.4085
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: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
9
1.3932
1.1498
2.0
18
1.4029
1.1305
3.0
27
1.4085
Framework versions
Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.1
