metadata
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: modernbert-user-52913
results: []
modernbert-user-52913
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: 0.7142
- Accuracy: 0.8182
- F1: 0.7876
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: 4
- eval_batch_size: 4
- 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 | Accuracy | F1 | Validation Loss |
|---|---|---|---|---|---|
| 0.6645 | 1.0 | 109 | 0.8091 | 0.7237 | 0.5220 |
| 0.6789 | 2.0 | 218 | 0.8091 | 0.7237 | 0.6656 |
| 0.5325 | 3.0 | 327 | 0.8091 | 0.7237 | 0.5110 |
| 0.4356 | 4.0 | 436 | 0.8091 | 0.7394 | 0.5661 |
| 0.548 | 5.0 | 545 | 0.8182 | 0.7583 | 0.6260 |
| 0.5922 | 6.0 | 654 | 0.8182 | 0.7583 | 0.5418 |
| 0.4884 | 7.0 | 763 | 0.8182 | 0.7794 | 0.7126 |
| 0.4096 | 8.0 | 872 | 0.8 | 0.7741 | 0.6273 |
| 0.5084 | 9.0 | 981 | 0.8182 | 0.7876 | 0.7142 |
| 0.3081 | 10.0 | 1090 | 0.8 | 0.7808 | 0.7097 |
Framework versions
- Transformers 4.48.0.dev0
- Pytorch 2.6.0
- Datasets 3.3.1
- Tokenizers 0.21.0