metadata
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: ModernBERT-NewsClassifier-EN-small
results: []
ModernBERT-NewsClassifier-EN-small
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: 3.1201
- F1: 0.5475
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: 8
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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
- lr_scheduler_warmup_steps: 100
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 2.6251 | 1.0 | 1688 | 1.3810 | 0.5543 |
| 1.9267 | 2.0 | 3376 | 1.4378 | 0.5588 |
| 0.6349 | 3.0 | 5064 | 2.1705 | 0.5415 |
| 0.1273 | 4.0 | 6752 | 2.9007 | 0.5402 |
| 0.0288 | 4.9973 | 8435 | 3.1201 | 0.5475 |
Framework versions
- Transformers 4.49.0.dev0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0