---
license: cc-by-nc-nd-4.0
base_model: google-bert/bert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: checkpoint
  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. -->

# checkpoint

This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6844

## 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: 8
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step   | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 0.942         | 0.4   | 14781  | 0.9276          |
| 0.7801        | 0.8   | 29562  | 0.7407          |
| 0.5825        | 1.2   | 44343  | 0.7030          |
| 0.5682        | 1.6   | 59124  | 0.6452          |
| 0.5286        | 2.0   | 73905  | 0.6214          |
| 0.387         | 2.4   | 88686  | 0.6819          |
| 0.3876        | 2.8   | 103467 | 0.6422          |
| 0.2882        | 3.2   | 118248 | 0.6901          |
| 0.271         | 3.6   | 133029 | 0.6844          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2