eac123 / results

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Model's Last Updated: November 04 2025
text-classification

Introduction of results

Model Details of results

results

This model is a fine-tuned version of microsoft/deberta-v3-base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0196
  • Accuracy: 0.995
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: 8
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 3
Training results
Training Loss Epoch Step Validation Loss Accuracy
0.2034 1.0 200 0.0789 0.98
0.0653 2.0 400 0.0547 0.98
0.0003 3.0 600 0.0196 0.995
Framework versions
  • Transformers 4.57.1
  • Pytorch 2.8.0+cu126
  • Datasets 4.0.0
  • Tokenizers 0.22.1

Runs of eac123 results on huggingface.co

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More Information About results huggingface.co Model

More results license Visit here:

https://choosealicense.com/licenses/mit

results huggingface.co

results huggingface.co is an AI model on huggingface.co that provides results's model effect (), which can be used instantly with this eac123 results model. huggingface.co supports a free trial of the results model, and also provides paid use of the results. Support call results model through api, including Node.js, Python, http.

results huggingface.co Url

https://huggingface.co/eac123/results

eac123 results online free

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

eac123 results online free url in huggingface.co:

https://huggingface.co/eac123/results

results install

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

results install url in huggingface.co:

https://huggingface.co/eac123/results

Url of results

results huggingface.co Url

Provider of results huggingface.co

eac123
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