BartTay / README.md
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metadata
library_name: transformers
license: mit
base_model: vinai/bartpho-syllable
tags:
  - generated_from_trainer
model-index:
  - name: BartTay
    results: []

BartTay

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

  • Loss: 4.6886

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: 8
  • eval_batch_size: 8
  • 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
  • num_epochs: 15
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
No log 1.0 45 5.9733
No log 2.0 90 5.9003
No log 3.0 135 5.6155
No log 4.0 180 5.5120
No log 5.0 225 5.4180
No log 6.0 270 5.1716
No log 7.0 315 5.2570
No log 8.0 360 5.0764
No log 9.0 405 4.9511
No log 10.0 450 4.8147
No log 11.0 495 4.6616
5.5211 12.0 540 4.7865
5.5211 13.0 585 4.7858
5.5211 14.0 630 4.7064

Framework versions

  • Transformers 4.57.0
  • Pytorch 2.8.0+cu126
  • Datasets 3.1.0
  • Tokenizers 0.22.1