parallelm / gpt2_small_ZH_bpe_32768_parallel10_42

huggingface.co
Total runs: 41
24-hour runs: 0
7-day runs: -1
30-day runs: 31
Model's Last Updated: November 15 2025

Introduction of gpt2_small_ZH_bpe_32768_parallel10_42

Model Details of gpt2_small_ZH_bpe_32768_parallel10_42

gpt2_small_ZH_bpe_32768_parallel10_42

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 5.0900
  • Accuracy: 0.3045
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-05
  • train_batch_size: 128
  • eval_batch_size: 128
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • lr_scheduler_warmup_steps: 1000
  • num_epochs: 10
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss Accuracy
7.1569 1.0 1253 6.3349 0.2520
6.2564 2.0 2506 5.8732 0.2630
5.9126 3.0 3759 5.6007 0.2743
5.5126 4.0 5012 5.4167 0.2839
5.3708 5.0 6265 5.2979 0.2912
5.2701 6.0 7518 5.2164 0.2959
5.1945 7.0 8771 5.1605 0.2989
5.0843 8.0 10024 5.1223 0.3021
5.0391 9.0 11277 5.0985 0.3037
5.0129 10.0 12530 5.0900 0.3045
Framework versions
  • Transformers 4.41.2
  • Pytorch 2.8.0+cu128
  • Datasets 4.1.1
  • Tokenizers 0.19.1

Runs of parallelm gpt2_small_ZH_bpe_32768_parallel10_42 on huggingface.co

41
Total runs
0
24-hour runs
1
3-day runs
-1
7-day runs
31
30-day runs

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