ajrayman / Self_Efficacy_continuous

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Total runs: 74
24-hour runs: 0
7-day runs: 0
30-day runs: 72
Model's Last Updated: September 08 2026
text-classification

Introduction of Self_Efficacy_continuous

Model Details of Self_Efficacy_continuous

Self_Efficacy_continuous

This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0336
  • Rmse: 0.1833
  • Mae: 0.1402
  • Corr: 0.2919
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: 2e-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: 2
Training results
Training Loss Epoch Step Validation Loss Rmse Mae Corr
No log 1.0 268 0.0350 0.1870 0.1469 0.2632
0.0479 2.0 536 0.0336 0.1833 0.1402 0.2919
Framework versions
  • Transformers 4.43.3
  • Pytorch 2.4.0
  • Datasets 2.20.0
  • Tokenizers 0.19.1

Runs of ajrayman Self_Efficacy_continuous on huggingface.co

74
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0
24-hour runs
0
3-day runs
0
7-day runs
72
30-day runs

More Information About Self_Efficacy_continuous huggingface.co Model

More Self_Efficacy_continuous license Visit here:

https://choosealicense.com/licenses/mit

Self_Efficacy_continuous huggingface.co

Self_Efficacy_continuous huggingface.co is an AI model on huggingface.co that provides Self_Efficacy_continuous's model effect (), which can be used instantly with this ajrayman Self_Efficacy_continuous model. huggingface.co supports a free trial of the Self_Efficacy_continuous model, and also provides paid use of the Self_Efficacy_continuous. Support call Self_Efficacy_continuous model through api, including Node.js, Python, http.

Self_Efficacy_continuous huggingface.co Url

https://huggingface.co/ajrayman/Self_Efficacy_continuous

ajrayman Self_Efficacy_continuous online free

Self_Efficacy_continuous huggingface.co is an online trial and call api platform, which integrates Self_Efficacy_continuous's modeling effects, including api services, and provides a free online trial of Self_Efficacy_continuous, you can try Self_Efficacy_continuous online for free by clicking the link below.

ajrayman Self_Efficacy_continuous online free url in huggingface.co:

https://huggingface.co/ajrayman/Self_Efficacy_continuous

Self_Efficacy_continuous install

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

Self_Efficacy_continuous install url in huggingface.co:

https://huggingface.co/ajrayman/Self_Efficacy_continuous

Url of Self_Efficacy_continuous

Self_Efficacy_continuous huggingface.co Url

Provider of Self_Efficacy_continuous huggingface.co

ajrayman
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