metadata
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-large
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: modernbert-large-assignment4
results: []
modernbert-large-assignment4
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: 0.1704
- Accuracy: 0.9694
- F1: 0.9690
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: 2e-05
- train_batch_size: 16
- 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.7746 | 1.0 | 954 | 0.1994 | 0.9552 | 0.9543 |
| 0.0514 | 2.0 | 1908 | 0.1879 | 0.9658 | 0.9653 |
| 0.0156 | 3.0 | 2862 | 0.1684 | 0.9684 | 0.9680 |
| 0.0069 | 4.0 | 3816 | 0.1662 | 0.9697 | 0.9693 |
| 0.0029 | 5.0 | 4770 | 0.1704 | 0.9694 | 0.9690 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0