metadata
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
model-index:
- name: modernBERT-Math-Classifier
results: []
modernBERT-Math-Classifier
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: 0.8325
- Micro F1: 0.8502
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: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 8
- total_eval_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.98) and epsilon=1e-06 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP
- label_smoothing_factor: 0.1
Training results
| Training Loss | Epoch | Step | Validation Loss | Micro F1 |
|---|---|---|---|---|
| 1.3184 | 1.0 | 1083 | 0.9248 | 0.7986 |
| 0.858 | 2.0 | 2166 | 0.8338 | 0.8424 |
| 0.6955 | 3.0 | 3249 | 0.8040 | 0.8561 |
| 0.5752 | 4.0 | 4332 | 0.8284 | 0.8463 |
| 0.5152 | 5.0 | 5415 | 0.8289 | 0.8502 |
| 0.4921 | 6.0 | 6498 | 0.8361 | 0.8424 |
| 0.4807 | 7.0 | 7581 | 0.8297 | 0.8502 |
| 0.4752 | 8.0 | 8664 | 0.8271 | 0.8561 |
| 0.4717 | 9.0 | 9747 | 0.8349 | 0.8476 |
| 0.4696 | 10.0 | 10830 | 0.8325 | 0.8502 |
Framework versions
- Transformers 4.51.1
- Pytorch 2.5.1+cu124
- Datasets 3.5.0
- Tokenizers 0.21.0