---
library_name: transformers
license: mit
base_model: lyeonii/bert-mini
tags:
- generated_from_trainer
model-index:
- name: lyeonii_bert-mini
  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. -->

# lyeonii_bert-mini

This model is a fine-tuned version of [lyeonii/bert-mini](https://huggingface.co/lyeonii/bert-mini) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6311

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 64
- 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
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.618         | 1.0   | 626  | 0.6469          |
| 0.5756        | 2.0   | 1252 | 0.6356          |
| 0.6375        | 3.0   | 1878 | 0.6311          |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3