---
library_name: transformers
base_model: cabrooks/LOGION-50k_wordpiece
tags:
- generated_from_trainer
model-index:
- name: gs-Logion
  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. -->

# gs-Logion

This model is a fine-tuned version of [cabrooks/LOGION-50k_wordpiece](https://huggingface.co/cabrooks/LOGION-50k_wordpiece) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5408

## 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: 4e-05
- train_batch_size: 16
- eval_batch_size: 8
- 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: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 3.7164        | 1.0   | 1945  | 3.2547          |
| 3.1887        | 2.0   | 3890  | 3.0060          |
| 2.9816        | 3.0   | 5835  | 2.8557          |
| 2.8566        | 4.0   | 7780  | 2.7777          |
| 2.7497        | 5.0   | 9725  | 2.7062          |
| 2.6705        | 6.0   | 11670 | 2.6446          |
| 2.6134        | 7.0   | 13615 | 2.6067          |
| 2.5566        | 8.0   | 15560 | 2.5568          |
| 2.5294        | 9.0   | 17505 | 2.5612          |
| 2.5018        | 10.0  | 19450 | 2.5244          |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.7.0+cu126
- Datasets 3.6.0
- Tokenizers 0.21.1