gokulsrinivasagan / s_em_mlm_albert

huggingface.co
Total runs: 20
24-hour runs: 0
7-day runs: 1
30-day runs: 13
Model's Last Updated: October 13 2025
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Introduction of s_em_mlm_albert

Model Details of s_em_mlm_albert

s_em_mlm_albert

This model is a fine-tuned version of albert/albert-base-v2 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: 0.0001
  • train_batch_size: 120
  • eval_batch_size: 120
  • seed: 10
  • optimizer: Use 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: 10000
  • num_epochs: 25
Training results
Framework versions
  • Transformers 4.46.1
  • Pytorch 2.6.0+cu124
  • Datasets 3.1.0
  • Tokenizers 0.20.3

Runs of gokulsrinivasagan s_em_mlm_albert on huggingface.co

20
Total runs
0
24-hour runs
0
3-day runs
1
7-day runs
13
30-day runs

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s_em_mlm_albert install

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