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: 0.2865
- F1: 0.9301
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 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 |
|---|---|---|---|---|
| 1.6264 | 1.0 | 313 | 1.2031 | 0.7960 |
| 0.524 | 2.0 | 626 | 0.4904 | 0.8985 |
| 0.2594 | 3.0 | 939 | 0.3444 | 0.9189 |
| 0.1366 | 4.0 | 1252 | 0.2952 | 0.9284 |
| 0.0749 | 5.0 | 1565 | 0.2865 | 0.9301 |
Framework versions
- Transformers 4.48.0.dev0
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.21.0
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Model tree for lserinol/llm-router
Base model
google-bert/bert-base-uncased