metadata
license: apache-2.0
base_model: google-bert/bert-base-uncased
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: modernbert-llm-router
results: []
modernbert-llm-router
This model is a fine-tuned version of google-bert/bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2799
- F1: 0.9339
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 1.5656 | 1.0 | 313 | 1.1637 | 0.7771 |
| 0.5046 | 2.0 | 626 | 0.4545 | 0.9159 |
| 0.2419 | 3.0 | 939 | 0.3382 | 0.9208 |
| 0.1345 | 4.0 | 1252 | 0.2883 | 0.9321 |
| 0.0689 | 5.0 | 1565 | 0.2799 | 0.9339 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.6.0+cu124
- Datasets 2.21.0
- Tokenizers 0.19.1