metadata
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: modernbert-grade-classifier
results: []
modernbert-grade-classifier
This model is a fine-tuned version of answerdotai/ModernBERT-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0005
- F1: 0.6175
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: 16
- seed: 42
- optimizer: Use 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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 1.9568 | 1.0 | 197 | 1.4912 | 0.4107 |
| 1.3756 | 2.0 | 394 | 1.2853 | 0.4907 |
| 1.1388 | 3.0 | 591 | 1.1807 | 0.5524 |
| 0.9889 | 4.0 | 788 | 1.1218 | 0.5586 |
| 0.8512 | 5.0 | 985 | 1.0889 | 0.5767 |
| 0.7781 | 6.0 | 1182 | 1.0464 | 0.5901 |
| 0.6999 | 7.0 | 1379 | 1.0223 | 0.5967 |
| 0.639 | 8.0 | 1576 | 1.0122 | 0.6144 |
| 0.6315 | 9.0 | 1773 | 1.0074 | 0.6095 |
| 0.585 | 10.0 | 1970 | 1.0041 | 0.6127 |
| 0.5777 | 11.0 | 2167 | 1.0024 | 0.6121 |
| 0.5512 | 12.0 | 2364 | 0.9948 | 0.6160 |
| 0.5521 | 13.0 | 2561 | 1.0011 | 0.6176 |
| 0.5451 | 14.0 | 2758 | 0.9990 | 0.6147 |
| 0.5502 | 15.0 | 2955 | 1.0005 | 0.6175 |
Framework versions
- Transformers 4.48.0.dev0
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.21.0