ary-modernbert-focal-lr-3e-5
This model is a fine-tuned version of answerdotai/ModernBERT-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 11.8729
- F1-micro: 0.2942
- F1-macro: 0.3061
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: 3e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH 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: 32
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | F1-micro | F1-macro |
|---|---|---|---|---|---|
| 36.2902 | 1.0 | 81 | 12.0539 | 0.3013 | 0.2669 |
| 33.9076 | 2.0 | 162 | 11.7354 | 0.3050 | 0.2713 |
| 31.6342 | 3.0 | 243 | 11.7385 | 0.3035 | 0.2980 |
| 28.9004 | 4.0 | 324 | 11.8729 | 0.2942 | 0.3061 |
Framework versions
- Transformers 4.48.1
- Pytorch 2.5.1+cu121
- Tokenizers 0.21.0
- Downloads last month
- 0
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Model tree for jaycentg/ary-modernbert-focal-lr-3e-5
Base model
answerdotai/ModernBERT-base