abdiharyadi/roberta-base-indonesian-522M-with-sa-william-dataset

🤗 Hugging Face 来源text-classificationmit126M 参数504 MBsafetensors✓ 7 个校验和今天更新
一条命令提交

在你的模型文件夹旁边运行它。它会制作种子、将文件与 Hugging Face 比对,然后提交。你只需开始做种,并粘贴你账户中的密钥。它只读取你的文件,绝不修改。如果愿意,可以先阅读脚本。

curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo abdiharyadi/roberta-base-indonesian-522M-with-sa-william-dataset ./model-folder
需要做种者 →

roberta-base-indonesian-522M-with-sa-william-dataset

This model is a fine-tuned version of cahya/roberta-base-indonesian-522M on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0934

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: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 20

Training results

Training Loss Epoch Step Validation Loss
0.2392 1.0 65 0.1149
0.1242 2.0 130 0.1343
0.0749 3.0 195 0.0934
0.0522 4.0 260 0.2300
0.0333 5.0 325 0.2182
0.027 6.0 390 0.1472
0.0115 7.0 455 0.1757
0.0162 8.0 520 0.1539
0.0219 9.0 585 0.1905
0.0084 10.0 650 0.1709
0.0014 11.0 715 0.2220
0.0004 12.0 780 0.2575
0.0002 13.0 845 0.2390
0.0 14.0 910 0.2316
0.0 15.0 975 0.2333
0.0 16.0 1040 0.2346
0.0 17.0 1105 0.2357
0.0 18.0 1170 0.2366
0.0 19.0 1235 0.2371
0.0 20.0 1300 0.2372

Framework versions

  • Transformers 4.38.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2