xiulinyang / gpt2_tiny_EN_bpe_350_42

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Total runs: 23
24-hour runs: 0
7-day runs: 6
30-day runs: 14
Model's Last Updated: October 07 2025

Introduction of gpt2_tiny_EN_bpe_350_42

Model Details of gpt2_tiny_EN_bpe_350_42

gpt2_tiny_EN_bpe_350_42

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

  • Loss: 5.5455
  • Accuracy: 0.0577
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: 0.0006
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 1000
  • num_epochs: 20
Training results
Framework versions
  • Transformers 4.30.2
  • Pytorch 2.0.0+cu117
  • Datasets 4.1.1
  • Tokenizers 0.13.3

Runs of xiulinyang gpt2_tiny_EN_bpe_350_42 on huggingface.co

23
Total runs
0
24-hour runs
3
3-day runs
6
7-day runs
14
30-day runs

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gpt2_tiny_EN_bpe_350_42 install

gpt2_tiny_EN_bpe_350_42 is an open source model from GitHub that offers a free installation service, and any user can find gpt2_tiny_EN_bpe_350_42 on GitHub to install. At the same time, huggingface.co provides the effect of gpt2_tiny_EN_bpe_350_42 install, users can directly use gpt2_tiny_EN_bpe_350_42 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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