metadata
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-large
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: modernbert-classif-2
results: []
modernbert-classif-2
This model is a fine-tuned version of answerdotai/ModernBERT-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0529
- F1: 0.8874
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: 128
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.4048 | 1.0 | 359 | 0.3766 | 0.8496 |
| 0.2606 | 2.0 | 718 | 0.3401 | 0.8746 |
| 0.1339 | 3.0 | 1077 | 0.3965 | 0.8753 |
| 0.0794 | 4.0 | 1436 | 0.5419 | 0.8777 |
| 0.0621 | 5.0 | 1795 | 0.7029 | 0.8781 |
| 0.0447 | 6.0 | 2154 | 0.6386 | 0.8802 |
| 0.0363 | 7.0 | 2513 | 0.7959 | 0.8780 |
| 0.0321 | 8.0 | 2872 | 0.8826 | 0.8782 |
| 0.0209 | 9.0 | 3231 | 0.8348 | 0.8838 |
| 0.0174 | 10.0 | 3590 | 0.8174 | 0.8855 |
| 0.0148 | 11.0 | 3949 | 0.9351 | 0.8852 |
| 0.0106 | 12.0 | 4308 | 1.0183 | 0.8852 |
| 0.0109 | 13.0 | 4667 | 1.0120 | 0.8835 |
| 0.0095 | 14.0 | 5026 | 1.0379 | 0.8863 |
| 0.012 | 15.0 | 5385 | 1.0287 | 0.8871 |
| 0.0097 | 16.0 | 5744 | 1.0354 | 0.8862 |
| 0.0062 | 17.0 | 6103 | 1.0416 | 0.8881 |
| 0.0075 | 18.0 | 6462 | 1.0507 | 0.8874 |
| 0.0085 | 19.0 | 6821 | 1.0490 | 0.8879 |
| 0.0083 | 20.0 | 7180 | 1.0529 | 0.8874 |
Framework versions
- Transformers 4.48.0.dev0
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.21.0