huggingface.co
Total runs: 19
24-hour runs: 1
7-day runs: 4
30-day runs: 13
Model's Last Updated: June 08 2022
text-classification

Introduction of M1

Model Details of M1

fine-tuned-arabert-ned-latest

This model is a fine-tuned version of aubmindlab/bert-base-arabertv02 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1399
  • Accuracy: 0.9741
  • Precision: 0.9789
  • Recall: 0.9818
  • F1: 0.9803
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: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss Accuracy Precision Recall F1
0.1337 1.0 56232 0.1134 0.9716 0.9761 0.9809 0.9785
0.1031 2.0 112464 0.1135 0.9742 0.9765 0.9846 0.9805
0.0916 3.0 168696 0.1060 0.9745 0.9791 0.9822 0.9807
0.0812 4.0 224928 0.1138 0.9733 0.9787 0.9808 0.9798
0.076 5.0 281160 0.1277 0.9745 0.9782 0.9832 0.9807
0.0676 6.0 337392 0.1399 0.9741 0.9789 0.9818 0.9803
Framework versions
  • Transformers 4.19.2
  • Pytorch 1.11.0+cu113
  • Datasets 2.2.2
  • Tokenizers 0.12.1

Runs of aomar85 M1 on huggingface.co

19
Total runs
1
24-hour runs
2
3-day runs
4
7-day runs
13
30-day runs

More Information About M1 huggingface.co Model

M1 huggingface.co

M1 huggingface.co is an AI model on huggingface.co that provides M1's model effect (), which can be used instantly with this aomar85 M1 model. huggingface.co supports a free trial of the M1 model, and also provides paid use of the M1. Support call M1 model through api, including Node.js, Python, http.

aomar85 M1 online free

M1 huggingface.co is an online trial and call api platform, which integrates M1's modeling effects, including api services, and provides a free online trial of M1, you can try M1 online for free by clicking the link below.

aomar85 M1 online free url in huggingface.co:

https://huggingface.co/aomar85/M1

M1 install

M1 is an open source model from GitHub that offers a free installation service, and any user can find M1 on GitHub to install. At the same time, huggingface.co provides the effect of M1 install, users can directly use M1 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

M1 install url in huggingface.co:

https://huggingface.co/aomar85/M1

Url of M1

Provider of M1 huggingface.co

aomar85
ORGANIZATIONS

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