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eurobert210m_Energie_v1

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eurobert
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eurobert210m_Energie_v1 / README.md
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metadata
library_name: transformers
license: apache-2.0
base_model: EuroBERT/EuroBERT-210m
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
model-index:
  - name: eurobert210m_Energie_v1
    results: []

eurobert210m_Energie_v1

This model is a fine-tuned version of EuroBERT/EuroBERT-210m on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0418
  • Accuracy: 0.9900
  • F1: 0.9900

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: 5e-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: 100
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Accuracy F1
1.4438 1.0 116 0.9257 0.6453 0.5924
0.7711 2.0 232 0.5221 0.8263 0.8141
0.3803 3.0 348 0.1986 0.9357 0.9330
0.2678 4.0 464 0.1487 0.9501 0.9508
0.1839 5.0 580 0.1222 0.9642 0.9642
0.1736 6.0 696 0.1348 0.9634 0.9638
0.1207 7.0 812 0.0549 0.9829 0.9828
0.1022 8.0 928 0.0642 0.9802 0.9804
0.0699 9.0 1044 0.0723 0.9777 0.9773
0.0584 10.0 1160 0.0315 0.9886 0.9886
0.0617 11.0 1276 0.0506 0.9862 0.9861
0.0591 12.0 1392 0.0445 0.9867 0.9867
0.0599 13.0 1508 0.0402 0.9870 0.9870
0.0595 14.0 1624 0.0952 0.9788 0.9791
0.0401 15.0 1740 0.0526 0.9853 0.9854
0.0424 16.0 1856 0.0305 0.9902 0.9902
0.0323 17.0 1972 0.0969 0.9802 0.9798
0.0664 18.0 2088 0.0359 0.9881 0.9879
0.031 19.0 2204 0.0372 0.9897 0.9897
0.0239 20.0 2320 0.0418 0.9900 0.9900

Framework versions

  • Transformers 4.48.3
  • Pytorch 2.5.1+cu124
  • Datasets 3.3.2
  • Tokenizers 0.21.0