---
license: apache-2.0
base_model: bert-base-cased
tags:
- generated_from_trainer
model-index:
- name: test-bert
  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-bert

This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 6.0267

## 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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 5.8219        | 0.09  | 5    | 5.9435          |
| 4.9256        | 0.18  | 10   | 6.1109          |
| 4.3213        | 0.27  | 15   | 5.7204          |
| 3.5947        | 0.36  | 20   | 5.7525          |
| 3.0974        | 0.45  | 25   | 5.6447          |
| 2.7481        | 0.55  | 30   | 5.2776          |
| 2.207         | 0.64  | 35   | 5.3963          |
| 1.8922        | 0.73  | 40   | 5.4622          |
| 1.7034        | 0.82  | 45   | 5.3710          |
| 1.4313        | 0.91  | 50   | 5.3449          |
| 1.0748        | 1.0   | 55   | 5.3580          |
| 1.0215        | 1.09  | 60   | 5.4713          |
| 0.7634        | 1.18  | 65   | 5.5980          |
| 0.7535        | 1.27  | 70   | 5.6049          |
| 0.6063        | 1.36  | 75   | 5.5830          |
| 0.4824        | 1.45  | 80   | 5.6753          |
| 0.48          | 1.55  | 85   | 5.7216          |
| 0.4884        | 1.64  | 90   | 5.7817          |
| 0.5813        | 1.73  | 95   | 5.9427          |
| 0.4287        | 1.82  | 100  | 6.0148          |
| 0.4061        | 1.91  | 105  | 5.8752          |
| 0.55          | 2.0   | 110  | 5.8723          |
| 0.4631        | 2.09  | 115  | 5.8288          |
| 0.2987        | 2.18  | 120  | 5.8808          |
| 0.3359        | 2.27  | 125  | 5.8884          |
| 0.3002        | 2.36  | 130  | 5.9442          |
| 0.299         | 2.45  | 135  | 5.9331          |
| 0.3393        | 2.55  | 140  | 5.9454          |
| 0.2656        | 2.64  | 145  | 5.9894          |
| 0.3582        | 2.73  | 150  | 6.0142          |
| 0.2111        | 2.82  | 155  | 6.0329          |
| 0.2574        | 2.91  | 160  | 6.0304          |
| 0.2471        | 3.0   | 165  | 6.0267          |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1