---
library_name: transformers
license: apache-2.0
base_model: google-bert/bert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert-platform-classifier
  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-platform-classifier

This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0034
- Accuracy: 0.999

## 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: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- 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 | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.1228        | 1.0   | 657  | 0.0123          | 0.997    |
| 0.0172        | 2.0   | 1314 | 0.0088          | 0.999    |
| 0.0127        | 3.0   | 1971 | 0.0051          | 0.999    |
| 0.0068        | 4.0   | 2628 | 0.0037          | 0.999    |
| 0.0073        | 5.0   | 3285 | 0.0048          | 0.999    |
| 0.0088        | 6.0   | 3942 | 0.0046          | 0.999    |
| 0.0054        | 7.0   | 4599 | 0.0021          | 0.999    |
| 0.0048        | 8.0   | 5256 | 0.0037          | 0.999    |
| 0.0055        | 9.0   | 5913 | 0.0037          | 0.999    |
| 0.0048        | 10.0  | 6570 | 0.0034          | 0.999    |


### Framework versions

- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1