judithrosell / ST_CEMS

huggingface.co
Total runs: 9
24-hour runs: 0
7-day runs: 1
30-day runs: 5
Model's Last Updated: September 09 2024
token-classification

Introduction of ST_CEMS

Model Details of ST_CEMS

ST_CEMS

This model is a fine-tuned version of m3rg-iitd/matscibert on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0598
  • Precision: 0.9368
  • Recall: 0.9226
  • F1: 0.9296
  • Accuracy: 0.9898
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: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10
Training results
Training Loss Epoch Step Validation Loss Precision Recall F1 Accuracy
0.0492 1.0 569 0.0347 0.9181 0.9091 0.9136 0.9881
0.0177 2.0 1138 0.0331 0.9406 0.9177 0.9290 0.9905
0.0109 3.0 1707 0.0454 0.9116 0.9122 0.9119 0.9876
0.0066 4.0 2276 0.0454 0.9596 0.8970 0.9272 0.9896
0.0042 5.0 2845 0.0477 0.9352 0.9061 0.9204 0.9889
0.0027 6.0 3414 0.0525 0.9352 0.9146 0.9248 0.9896
0.0018 7.0 3983 0.0498 0.9405 0.9159 0.9280 0.9899
0.0008 8.0 4552 0.0555 0.9312 0.9238 0.9275 0.9896
0.0007 9.0 5121 0.0602 0.9406 0.9165 0.9284 0.9897
0.0006 10.0 5690 0.0598 0.9368 0.9226 0.9296 0.9898
Framework versions
  • Transformers 4.44.2
  • Pytorch 2.4.0+cu121
  • Datasets 2.21.0
  • Tokenizers 0.19.1

Runs of judithrosell ST_CEMS on huggingface.co

9
Total runs
0
24-hour runs
0
3-day runs
1
7-day runs
5
30-day runs

More Information About ST_CEMS huggingface.co Model

More ST_CEMS license Visit here:

https://choosealicense.com/licenses/mit

ST_CEMS huggingface.co

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

judithrosell ST_CEMS online free

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

judithrosell ST_CEMS online free url in huggingface.co:

https://huggingface.co/judithrosell/ST_CEMS

ST_CEMS install

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

ST_CEMS install url in huggingface.co:

https://huggingface.co/judithrosell/ST_CEMS

Url of ST_CEMS

Provider of ST_CEMS huggingface.co

judithrosell
ORGANIZATIONS

Other API from judithrosell

huggingface.co

Total runs: 6
Run Growth: 3
Growth Rate: 50.00%
Updated:September 09 2024