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 S04

Model Details of S04

S04

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: 0.5249
  • Accuracy: 0.71
  • F1: 0.8304
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: 4e-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 0.01 50 0.6296 0.65 0.6505
No log 0.01 100 0.6280 0.67 0.6697
No log 0.02 150 0.6210 0.67 0.6665
No log 0.03 200 0.6583 0.65 0.6505
No log 0.03 250 0.6650 0.65 0.6505
No log 0.04 300 0.6613 0.67 0.6697
No log 0.04 350 0.6663 0.65 0.6502
No log 0.05 400 0.6704 0.67 0.6702
No log 0.06 450 0.6570 0.68 0.6794
0.6123 0.06 500 0.6430 0.65 0.6502
0.6123 0.07 550 0.6558 0.64 0.6404
0.6123 0.08 600 0.6662 0.64 0.64
0.6123 0.08 650 0.6547 0.64 0.6406
0.6123 0.09 700 0.6407 0.66 0.6605
0.6123 0.09 750 0.6238 0.66 0.6605
0.6123 0.1 800 0.6223 0.68 0.6794
0.6123 0.11 850 0.6006 0.66 0.6604
0.6123 0.11 900 0.6294 0.68 0.6773
0.6123 0.12 950 0.6195 0.66 0.66
0.6014 0.13 1000 0.6119 0.65 0.6505
0.6014 0.13 1050 0.6230 0.67 0.6702
0.6014 0.14 1100 0.6410 0.69 0.6905
0.6014 0.14 1150 0.6306 0.67 0.6705
0.6014 0.15 1200 0.6476 0.7 0.6994
0.6014 0.16 1250 0.6244 0.67 0.6705
0.6014 0.16 1300 0.6078 0.69 0.6897
0.6014 0.17 1350 0.5869 0.67 0.6705
0.6014 0.18 1400 0.6164 0.67 0.6665
0.6014 0.18 1450 0.6054 0.65 0.6505
0.5906 0.19 1500 0.5947 0.67 0.6705
0.5906 0.19 1550 0.5765 0.69 0.6905
0.5906 0.2 1600 0.5677 0.69 0.6905
0.5906 0.21 1650 0.5828 0.7 0.7005
0.5906 0.21 1700 0.6249 0.67 0.6689
0.5906 0.22 1750 0.5833 0.69 0.6905
0.5906 0.23 1800 0.5838 0.68 0.6804
0.5906 0.23 1850 0.5923 0.7 0.7004
0.5906 0.24 1900 0.5749 0.69 0.6905
0.5906 0.25 1950 0.5769 0.7 0.7004
0.5736 0.25 2000 0.5706 0.7 0.7005
0.5736 0.26 2050 0.5967 0.69 0.6897
0.5736 0.26 2100 0.5866 0.69 0.6897
0.5736 0.27 2150 0.5901 0.7 0.7
0.5736 0.28 2200 0.5771 0.7 0.7004
0.5736 0.28 2250 0.5616 0.69 0.6905
Framework versions
  • Transformers 4.35.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.16.0
  • Tokenizers 0.15.0

Runs of Anwaarma S04 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 S04 huggingface.co Model

S04 huggingface.co

S04 huggingface.co is an AI model on huggingface.co that provides S04's model effect (), which can be used instantly with this Anwaarma S04 model. huggingface.co supports a free trial of the S04 model, and also provides paid use of the S04. Support call S04 model through api, including Node.js, Python, http.

Anwaarma S04 online free

S04 huggingface.co is an online trial and call api platform, which integrates S04's modeling effects, including api services, and provides a free online trial of S04, you can try S04 online for free by clicking the link below.

Anwaarma S04 online free url in huggingface.co:

https://huggingface.co/Anwaarma/S04

S04 install

S04 is an open source model from GitHub that offers a free installation service, and any user can find S04 on GitHub to install. At the same time, huggingface.co provides the effect of S04 install, users can directly use S04 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

S04 install url in huggingface.co:

https://huggingface.co/Anwaarma/S04

Url of S04

Provider of S04 huggingface.co

Anwaarma
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