step3_semisup / README.md
RonTon05's picture
Semi-supervised MTL PhoBERT — Step 3 final
7b2b2c1 verified
|
Raw
History Blame Contribute Delete
1.29 kB
metadata
library_name: transformers
license: agpl-3.0
base_model: RonTon05/model_content_V2_test
tags:
  - generated_from_trainer
model-index:
  - name: step3_semisup
    results: []

step3_semisup

This model is a fine-tuned version of RonTon05/model_content_V2_test on the None 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: 5e-06
  • train_batch_size: 64
  • eval_batch_size: 32
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 128
  • 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
  • lr_scheduler_warmup_steps: 1150
  • num_epochs: 15

Training results

Framework versions

  • Transformers 5.12.1
  • Pytorch 2.7.1+cu118
  • Datasets 5.0.0
  • Tokenizers 0.22.2