---
library_name: transformers
license: mit
base_model: lyeonii/bert-medium
tags:
- generated_from_trainer
model-index:
- name: lyeonii_bert-medium
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# lyeonii_bert-medium

This model is a fine-tuned version of [lyeonii/bert-medium](https://huggingface.co/lyeonii/bert-medium) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6442

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6048        | 1.0   | 626  | 0.6252          |
| 0.5237        | 2.0   | 1252 | 0.6240          |
| 0.5648        | 3.0   | 1878 | 0.6442          |


### Framework versions

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