metadata
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-large
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: ST1_modernbert-large_hazard-category_V2
results: []
ST1_modernbert-large_hazard-category_V2
This model is a fine-tuned version of answerdotai/ModernBERT-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3219
- F1: 0.9424
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: 16
- eval_batch_size: 8
- 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 | F1 |
|---|---|---|---|---|
| 0.7171 | 1.0 | 286 | 0.3730 | 0.8750 |
| 0.2641 | 2.0 | 572 | 0.3079 | 0.9201 |
| 0.1531 | 3.0 | 858 | 0.2666 | 0.9324 |
| 0.0803 | 4.0 | 1144 | 0.2954 | 0.9392 |
| 0.0353 | 5.0 | 1430 | 0.3219 | 0.9424 |
Framework versions
- Transformers 4.48.0.dev0
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.21.0