ndhieu1101 / kaggle_train_v2

huggingface.co
Total runs: 310
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: May 14 2026

Introduction of kaggle_train_v2

Model Details of kaggle_train_v2

kaggle_train_v2

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.5280
  • Bleu: 24.7501
  • Meteor: 0.4830
  • Ter: 0.7622
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: 32
  • 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
  • num_epochs: 8
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss Bleu Meteor Ter
9.0870 0.64 2000 4.4165 0.7600 0.0715 1.5065
6.1339 1.28 4000 3.0884 5.2113 0.1866 1.3484
4.8790 1.92 6000 2.4983 10.4886 0.2829 1.1287
4.1415 2.56 8000 2.1740 15.0043 0.3383 0.9847
3.6288 3.2 10000 1.9671 16.8458 0.3702 0.9583
3.3129 3.84 12000 1.8189 18.8957 0.3983 0.9049
3.1066 4.48 14000 1.7215 20.7651 0.4252 0.8701
2.9357 5.12 16000 1.6498 22.2678 0.4483 0.8207
2.8397 5.76 18000 1.5944 23.2203 0.4609 0.8026
2.7328 6.4 20000 1.5601 24.0607 0.4730 0.7862
2.6788 7.04 22000 1.5383 24.4546 0.4783 0.7732
2.6592 7.68 24000 1.5280 24.7501 0.4830 0.7622
Framework versions
  • Transformers 5.0.0
  • Pytorch 2.10.0+cu128
  • Datasets 4.8.3
  • Tokenizers 0.22.2

Runs of ndhieu1101 kaggle_train_v2 on huggingface.co

310
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