metadata
library_name: transformers
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: 0.4671
- F1: 1.0
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_HF with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 9
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 1 | 0.7026 | 0.82 |
| No log | 2.0 | 2 | 0.6383 | 0.82 |
| No log | 3.0 | 3 | 0.5799 | 0.82 |
| No log | 4.0 | 4 | 0.4671 | 1.0 |
| No log | 5.0 | 5 | 0.4164 | 1.0 |
| No log | 6.0 | 6 | 0.4202 | 1.0 |
| No log | 7.0 | 7 | 0.3868 | 1.0 |
| No log | 8.0 | 8 | 0.3568 | 1.0 |
| No log | 9.0 | 9 | 0.3463 | 1.0 |
Framework versions
- Transformers 4.48.0.dev0
- Pytorch 2.4.1
- Datasets 3.1.0
- Tokenizers 0.21.0