---
library_name: transformers
license: apache-2.0
base_model: google-bert/bert-base-cased
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 [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4485

## 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 adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- training_steps: 200

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.1928        | 0.16  | 20   | 1.7267          |
| 0.0765        | 0.32  | 40   | 2.2667          |
| 0.1415        | 0.48  | 60   | 2.4675          |
| 0.8414        | 0.64  | 80   | 2.5346          |
| 1.4214        | 0.8   | 100  | 1.4516          |
| 1.3342        | 0.96  | 120  | 1.1893          |
| 0.707         | 1.12  | 140  | 1.1221          |
| 0.2296        | 1.28  | 160  | 1.3310          |
| 0.7034        | 1.44  | 180  | 1.4380          |
| 0.6004        | 1.6   | 200  | 1.4485          |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.3.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3