DerivedFunction / derivative-filter

huggingface.co
Total runs: 4
24-hour runs: 0
7-day runs: 1
30-day runs: 3
Model's Last Updated: November 25 2025
text-classification

Introduction of derivative-filter

Model Details of derivative-filter

derivative-filter

This model is a fine-tuned version of DerivedFunction/FinRoBERTa on DerivedFunction/sec-mk-der-snippets.

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: 16
  • eval_batch_size: 32
  • 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_ratio: 0.1
  • num_epochs: 1
  • mixed_precision_training: Native AMP
Training results
Framework versions
  • Transformers 4.57.1
  • Pytorch 2.9.0+cu128
  • Datasets 4.3.0
  • Tokenizers 0.22.1

Runs of DerivedFunction derivative-filter on huggingface.co

4
Total runs
0
24-hour runs
0
3-day runs
1
7-day runs
3
30-day runs

More Information About derivative-filter huggingface.co Model

More derivative-filter license Visit here:

https://choosealicense.com/licenses/apache-2.0

derivative-filter huggingface.co

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

DerivedFunction derivative-filter online free

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

DerivedFunction derivative-filter online free url in huggingface.co:

https://huggingface.co/DerivedFunction/derivative-filter

derivative-filter install

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

derivative-filter install url in huggingface.co:

https://huggingface.co/DerivedFunction/derivative-filter

Url of derivative-filter

Provider of derivative-filter huggingface.co

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