---
library_name: transformers
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: bert-router-teacher
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# bert-router-teacher

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0528
- Accuracy: 0.9925
- Precision: 0.9927
- Recall: 0.9925
- F1: 0.9925

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| 0.9899        | 1.0   | 52   | 0.7205          | 0.6007   | 0.8170    | 0.6007 | 0.4836 |
| 0.4364        | 2.0   | 104  | 0.1168          | 0.9888   | 0.9891    | 0.9888 | 0.9888 |
| 0.0749        | 3.0   | 156  | 0.0616          | 0.9888   | 0.9891    | 0.9888 | 0.9888 |
| 0.0371        | 4.0   | 208  | 0.0387          | 0.9925   | 0.9927    | 0.9925 | 0.9925 |
| 0.0236        | 5.0   | 260  | 0.0457          | 0.9925   | 0.9927    | 0.9925 | 0.9925 |
| 0.0111        | 6.0   | 312  | 0.0546          | 0.9925   | 0.9927    | 0.9925 | 0.9925 |
| 0.0129        | 7.0   | 364  | 0.0499          | 0.9925   | 0.9927    | 0.9925 | 0.9925 |
| 0.0072        | 8.0   | 416  | 0.0419          | 0.9888   | 0.9889    | 0.9888 | 0.9888 |
| 0.0027        | 9.0   | 468  | 0.0510          | 0.9925   | 0.9927    | 0.9925 | 0.9925 |
| 0.0062        | 10.0  | 520  | 0.0528          | 0.9925   | 0.9927    | 0.9925 | 0.9925 |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0