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phobert-base-finetuned

This model is a fine-tuned version of vinai/phobert-base on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 1.3863

eval_accuracy: 0.2459

eval_runtime: 93.3925

eval_samples_per_second: 60.797

eval_steps_per_second: 3.801

epoch: 7.0

step: 9940

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: 0.0027

train_batch_size: 16

eval_batch_size: 16

seed: 42

optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08

lr_scheduler_type: linear

num_epochs: 10

Framework versions

Transformers 4.35.0

Pytorch 2.1.0+cu118

Datasets 2.14.6

Tokenizers 0.14.1