metadata
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: fold_0
results: []
fold_0
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: 0.9358
- F1: 0.8578
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 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 | Validation Loss | F1 |
|---|---|---|---|---|
| 0.7289 | 1.0 | 188 | 0.4268 | 0.8239 |
| 0.3104 | 2.0 | 376 | 0.3828 | 0.8580 |
| 0.1417 | 3.0 | 564 | 0.4563 | 0.8522 |
| 0.0758 | 4.0 | 752 | 0.5187 | 0.8592 |
| 0.0462 | 5.0 | 940 | 0.7985 | 0.8497 |
| 0.0289 | 6.0 | 1128 | 0.7168 | 0.8545 |
| 0.0152 | 7.0 | 1316 | 1.0003 | 0.8456 |
| 0.006 | 8.0 | 1504 | 0.9324 | 0.8575 |
| 0.0019 | 9.0 | 1692 | 0.9218 | 0.8618 |
| 0.0022 | 10.0 | 1880 | 0.9358 | 0.8578 |
Framework versions
- Transformers 4.48.0
- Pytorch 2.5.1
- Datasets 3.2.0
- Tokenizers 0.21.0