Anwaarma / S02-PC

huggingface.co
Total runs: 2
24-hour runs: 0
7-day runs: 1
30-day runs: 2
Model's Last Updated: December 25 2023
text-classification

Introduction of S02-PC

Model Details of S02-PC

S02-PC

This model is a fine-tuned version of Anwaarma/Merged-Server-praj on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5986
  • Accuracy: 0.78
  • F1: 0.8764
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: 3e-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: 20
Training results
Training Loss Epoch Step Validation Loss Accuracy F1
No log 0.0 50 0.5686 0.6 0.5981
No log 0.01 100 0.5715 0.62 0.6205
No log 0.01 150 0.5591 0.64 0.6400
No log 0.01 200 0.5670 0.63 0.6288
No log 0.02 250 0.5568 0.61 0.6106
No log 0.02 300 0.5761 0.64 0.6383
No log 0.02 350 0.5515 0.61 0.6106
No log 0.03 400 0.5567 0.61 0.6087
No log 0.03 450 0.5590 0.62 0.6192
0.606 0.03 500 0.5454 0.64 0.6404
0.606 0.04 550 0.5509 0.63 0.6303
0.606 0.04 600 0.5451 0.64 0.6393
0.606 0.04 650 0.5461 0.65 0.6488
0.606 0.05 700 0.5443 0.62 0.6192
0.606 0.05 750 0.5461 0.66 0.6593
0.606 0.05 800 0.5420 0.66 0.6604
0.606 0.06 850 0.5414 0.65 0.6502
0.606 0.06 900 0.5411 0.65 0.6505
0.606 0.06 950 0.5413 0.69 0.6834
0.584 0.07 1000 0.5432 0.64 0.6353
0.584 0.07 1050 0.5335 0.64 0.6383
0.584 0.07 1100 0.5483 0.67 0.6702
0.584 0.08 1150 0.5548 0.66 0.6605
0.584 0.08 1200 0.5590 0.63 0.6306
0.584 0.09 1250 0.5580 0.67 0.6697
0.584 0.09 1300 0.5616 0.65 0.6502
0.584 0.09 1350 0.5620 0.62 0.6131
0.584 0.1 1400 0.5509 0.61 0.6059
0.584 0.1 1450 0.5473 0.66 0.6605
0.573 0.1 1500 0.5497 0.66 0.6593
0.573 0.11 1550 0.5450 0.65 0.6502
0.573 0.11 1600 0.5484 0.67 0.6689
0.573 0.11 1650 0.5398 0.66 0.6584
0.573 0.12 1700 0.5350 0.65 0.6477
0.573 0.12 1750 0.5333 0.64 0.6370
0.573 0.12 1800 0.5635 0.64 0.6400
0.573 0.13 1850 0.5742 0.63 0.6297
Framework versions
  • Transformers 4.35.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.16.0
  • Tokenizers 0.15.0

Runs of Anwaarma S02-PC on huggingface.co

2
Total runs
0
24-hour runs
0
3-day runs
1
7-day runs
2
30-day runs

More Information About S02-PC huggingface.co Model

S02-PC huggingface.co

S02-PC huggingface.co is an AI model on huggingface.co that provides S02-PC's model effect (), which can be used instantly with this Anwaarma S02-PC model. huggingface.co supports a free trial of the S02-PC model, and also provides paid use of the S02-PC. Support call S02-PC model through api, including Node.js, Python, http.

Anwaarma S02-PC online free

S02-PC huggingface.co is an online trial and call api platform, which integrates S02-PC's modeling effects, including api services, and provides a free online trial of S02-PC, you can try S02-PC online for free by clicking the link below.

Anwaarma S02-PC online free url in huggingface.co:

https://huggingface.co/Anwaarma/S02-PC

S02-PC install

S02-PC is an open source model from GitHub that offers a free installation service, and any user can find S02-PC on GitHub to install. At the same time, huggingface.co provides the effect of S02-PC install, users can directly use S02-PC installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

S02-PC install url in huggingface.co:

https://huggingface.co/Anwaarma/S02-PC

Url of S02-PC

Provider of S02-PC huggingface.co

Anwaarma
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