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abdiharyadi/roberta-base-finetuned-sa-yelp-juncenli

🤗 Hugging Face 来源text-classificationmit125M 参数499 MBsafetensors✓ 8 个校验和今天更新
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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-finetuned-sa-yelp-juncenli ./model-folder
需要做种者 →

roberta-base-finetuned-sa-yelp-juncenli

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

  • eval_loss: 0.0662
  • eval_runtime: 4.8126
  • eval_samples_per_second: 831.155
  • eval_steps_per_second: 25.974
  • epoch: 1.0
  • step: 13852

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: 1

Framework versions

  • Transformers 4.38.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2