judithrosell / Final_Biomaterials_ST_cems_6000

huggingface.co
Total runs: 6
24-hour runs: -1
7-day runs: -1
30-day runs: -1
Model's Last Updated: February 18 2025
token-classification

Introduction of Final_Biomaterials_ST_cems_6000

Model Details of Final_Biomaterials_ST_cems_6000

Final_Biomaterials_ST_cems_6000

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: 0.0758
  • Precision: 0.9889
  • Recall: 0.9876
  • F1: 0.9883
  • Accuracy: 0.9887
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 10
Training results
Training Loss Epoch Step Validation Loss Precision Recall F1 Accuracy
0.0304 1.0 1564 0.0325 0.9898 0.9862 0.9880 0.9886
0.0203 2.0 3128 0.0347 0.9894 0.9886 0.9890 0.9893
0.0114 3.0 4692 0.0397 0.9882 0.9886 0.9884 0.9888
0.0063 4.0 6256 0.0496 0.9887 0.9878 0.9883 0.9885
0.0048 5.0 7820 0.0550 0.9892 0.9876 0.9884 0.9887
0.0028 6.0 9384 0.0609 0.9886 0.9875 0.9880 0.9884
0.0021 7.0 10948 0.0658 0.9893 0.9869 0.9881 0.9886
0.0012 8.0 12512 0.0724 0.9886 0.9884 0.9885 0.9888
0.0012 9.0 14076 0.0737 0.9890 0.9878 0.9884 0.9888
0.0007 10.0 15640 0.0758 0.9889 0.9876 0.9883 0.9887
Framework versions
  • Transformers 4.48.3
  • Pytorch 2.5.1+cu124
  • Datasets 3.3.1
  • Tokenizers 0.21.0

Runs of judithrosell Final_Biomaterials_ST_cems_6000 on huggingface.co

6
Total runs
-1
24-hour runs
-2
3-day runs
-1
7-day runs
-1
30-day runs

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