---
license: apache-2.0
base_model: google-bert/bert-large-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-large-uncased](https://huggingface.co/google-bert/bert-large-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5713

## 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: 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.9089        | 0.4   | 7373  | 0.8463          |
| 0.6975        | 0.8   | 14746 | 0.6603          |
| 0.5207        | 1.2   | 22119 | 0.6005          |
| 0.4985        | 1.6   | 29492 | 0.5558          |
| 0.4572        | 2.0   | 36865 | 0.5206          |
| 0.3228        | 2.4   | 44238 | 0.5485          |
| 0.305         | 2.8   | 51611 | 0.5243          |
| 0.2171        | 3.2   | 58984 | 0.5674          |
| 0.2057        | 3.6   | 66357 | 0.5713          |


### Framework versions

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