metadata
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: modernbert-user-32329
results: []
modernbert-user-32329
This model is a fine-tuned version of answerdotai/ModernBERT-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8771
- Accuracy: 0.7353
- F1: 0.7445
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: 4
- eval_batch_size: 4
- 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: 10
Training results
| Training Loss | Epoch | Step | Accuracy | F1 | Validation Loss |
|---|---|---|---|---|---|
| 0.7072 | 1.0 | 102 | 0.6863 | 0.5586 | 0.5932 |
| 0.6392 | 2.0 | 204 | 0.6078 | 0.6214 | 0.6577 |
| 0.644 | 3.0 | 306 | 0.6961 | 0.6847 | 0.6019 |
| 0.517 | 4.0 | 408 | 0.6176 | 0.6298 | 0.7605 |
| 0.5238 | 5.0 | 510 | 0.7353 | 0.7445 | 0.8771 |
| 0.4806 | 6.0 | 612 | 0.6667 | 0.6563 | 1.2187 |
| 0.5195 | 7.0 | 714 | 0.6863 | 0.6963 | 1.2877 |
| 0.3196 | 8.0 | 816 | 0.6961 | 0.7015 | 1.5742 |
| 0.2659 | 9.0 | 918 | 0.6863 | 0.6863 | 1.5234 |
| 0.2219 | 10.0 | 1020 | 0.6863 | 0.6863 | 1.6101 |
Framework versions
- Transformers 4.48.0.dev0
- Pytorch 2.6.0
- Datasets 3.3.1
- Tokenizers 0.21.0