ModernBERT-Letter / README.md
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metadata
library_name: transformers
license: apache-2.0
base_model: Alibaba-NLP/gte-multilingual-reranker-base
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
model-index:
  - name: ModernBERT-Letter
    results: []

ModernBERT-Letter

This model is a fine-tuned version of Alibaba-NLP/gte-multilingual-reranker-base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0038
  • Accuracy: 1.0
  • F1: 1.0

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-06
  • train_batch_size: 16
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Use 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 Accuracy F1
No log 1.0 161 0.4207 0.9580 0.9554
No log 2.0 322 0.0516 0.9965 0.9964
No log 3.0 483 0.0187 1.0 1.0
0.391 4.0 644 0.0104 1.0 1.0
0.391 5.0 805 0.0072 1.0 1.0
0.391 6.0 966 0.0056 1.0 1.0
0.0145 7.0 1127 0.0047 1.0 1.0
0.0145 8.0 1288 0.0042 1.0 1.0
0.0145 9.0 1449 0.0039 1.0 1.0
0.0079 10.0 1610 0.0038 1.0 1.0

Framework versions

  • Transformers 4.47.0
  • Pytorch 2.5.1+cu121
  • Datasets 3.3.1
  • Tokenizers 0.21.0