---
library_name: transformers
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: test-trainer
  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. -->

# test-trainer

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5319

## 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: 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
- training_steps: 1377

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| No log        | 0.1089 | 50   | 0.5885          |
| 0.6475        | 0.2179 | 100  | 0.5992          |
| 0.6475        | 0.3268 | 150  | 0.5555          |
| 0.5984        | 0.4357 | 200  | 0.5674          |
| 0.5984        | 0.5447 | 250  | 0.8102          |
| 0.574         | 0.6536 | 300  | 0.5246          |
| 0.574         | 0.7625 | 350  | 0.5154          |
| 0.5728        | 0.8715 | 400  | 0.5616          |
| 0.5728        | 0.9804 | 450  | 0.5247          |
| 0.4933        | 1.0893 | 500  | 0.4771          |
| 0.4933        | 1.1983 | 550  | 0.5082          |
| 0.4332        | 1.3072 | 600  | 0.4866          |
| 0.4332        | 1.4161 | 650  | 0.4762          |
| 0.4269        | 1.5251 | 700  | 0.3891          |
| 0.4269        | 1.6340 | 750  | 0.4092          |
| 0.3825        | 1.7429 | 800  | 0.4439          |
| 0.3825        | 1.8519 | 850  | 0.3988          |
| 0.4038        | 1.9608 | 900  | 0.4035          |
| 0.4038        | 2.0697 | 950  | 0.5283          |
| 0.2891        | 2.1786 | 1000 | 0.5314          |
| 0.2891        | 2.2876 | 1050 | 0.5842          |
| 0.2558        | 2.3965 | 1100 | 0.5879          |
| 0.2558        | 2.5054 | 1150 | 0.5792          |
| 0.2529        | 2.6144 | 1200 | 0.5626          |
| 0.2529        | 2.7233 | 1250 | 0.5591          |
| 0.2729        | 2.8322 | 1300 | 0.5504          |
| 0.2729        | 2.9412 | 1350 | 0.5319          |


### Framework versions

- Transformers 4.55.4
- Pytorch 2.7.1
- Datasets 4.0.0
- Tokenizers 0.21.4