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py38-pylingual-v1.1.1-segmenter

syssec-utd / py38-pylingual-v1.1.1-segmenter

Run on huggingface.co
huggingface.co
Total runs: 1
24-hour runs: 0
7-day runs: 0
30-day runs: 1
Model's Last Updated: August 15 2025
token-classification

Introduction of py38-pylingual-v1.1.1-segmenter

Model Details of py38-pylingual-v1.1.1-segmenter

py38-pylingual-v1.1.1-segmenter

This model is a fine-tuned version of syssec-utd/py38-pylingual-v1.1.1-mlm on the syssec-utd/segmentation-py38-pylingual-v1.1-tokenized dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0811
  • Precision: 0.9316
  • Recall: 0.8862
  • F1: 0.9083
  • Accuracy: 0.9617
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: 48
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 3
  • total_train_batch_size: 144
  • total_eval_batch_size: 24
  • 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
  • num_epochs: 2
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss Precision Recall F1 Accuracy
0.2656 1.0 1490 0.1329 0.8099 0.7967 0.8033 0.9387
0.1195 2.0 2980 0.0811 0.9316 0.8862 0.9083 0.9617
Framework versions
  • Transformers 4.54.1
  • Pytorch 2.8.0+cu128
  • Datasets 3.3.2
  • Tokenizers 0.21.4

Runs of syssec-utd py38-pylingual-v1.1.1-segmenter on huggingface.co

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

More Information About py38-pylingual-v1.1.1-segmenter huggingface.co Model

py38-pylingual-v1.1.1-segmenter huggingface.co

py38-pylingual-v1.1.1-segmenter huggingface.co is an AI model on huggingface.co that provides py38-pylingual-v1.1.1-segmenter's model effect (), which can be used instantly with this syssec-utd py38-pylingual-v1.1.1-segmenter model. huggingface.co supports a free trial of the py38-pylingual-v1.1.1-segmenter model, and also provides paid use of the py38-pylingual-v1.1.1-segmenter. Support call py38-pylingual-v1.1.1-segmenter model through api, including Node.js, Python, http.

py38-pylingual-v1.1.1-segmenter huggingface.co Url

https://huggingface.co/syssec-utd/py38-pylingual-v1.1.1-segmenter

syssec-utd py38-pylingual-v1.1.1-segmenter online free

py38-pylingual-v1.1.1-segmenter huggingface.co is an online trial and call api platform, which integrates py38-pylingual-v1.1.1-segmenter's modeling effects, including api services, and provides a free online trial of py38-pylingual-v1.1.1-segmenter, you can try py38-pylingual-v1.1.1-segmenter online for free by clicking the link below.

syssec-utd py38-pylingual-v1.1.1-segmenter online free url in huggingface.co:

https://huggingface.co/syssec-utd/py38-pylingual-v1.1.1-segmenter

py38-pylingual-v1.1.1-segmenter install

py38-pylingual-v1.1.1-segmenter is an open source model from GitHub that offers a free installation service, and any user can find py38-pylingual-v1.1.1-segmenter on GitHub to install. At the same time, huggingface.co provides the effect of py38-pylingual-v1.1.1-segmenter install, users can directly use py38-pylingual-v1.1.1-segmenter installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

py38-pylingual-v1.1.1-segmenter install url in huggingface.co:

https://huggingface.co/syssec-utd/py38-pylingual-v1.1.1-segmenter

Url of py38-pylingual-v1.1.1-segmenter

py38-pylingual-v1.1.1-segmenter huggingface.co Url

Provider of py38-pylingual-v1.1.1-segmenter huggingface.co

syssec-utd
ORGANIZATIONS
huggingface.co

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