---
library_name: transformers
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: GPT_nyala
  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. -->

# GPT_nyala

This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000

## 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: 8
- seed: 42
- optimizer: Use OptimizerNames.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: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 63   | 0.0981          |
| No log        | 2.0   | 126  | 0.0007          |
| No log        | 3.0   | 189  | 0.0002          |
| No log        | 4.0   | 252  | 0.0006          |
| No log        | 5.0   | 315  | 0.0169          |
| No log        | 6.0   | 378  | 0.0002          |
| No log        | 7.0   | 441  | 0.0001          |
| 0.3539        | 8.0   | 504  | 0.0002          |
| 0.3539        | 9.0   | 567  | 0.0001          |
| 0.3539        | 10.0  | 630  | 0.0001          |
| 0.3539        | 11.0  | 693  | 0.0001          |
| 0.3539        | 12.0  | 756  | 0.0001          |
| 0.3539        | 13.0  | 819  | 0.0001          |
| 0.3539        | 14.0  | 882  | 0.0001          |
| 0.3539        | 15.0  | 945  | 0.0001          |
| 0.0012        | 16.0  | 1008 | 0.0000          |
| 0.0012        | 17.0  | 1071 | 0.0001          |
| 0.0012        | 18.0  | 1134 | 0.0000          |
| 0.0012        | 19.0  | 1197 | 0.0000          |
| 0.0012        | 20.0  | 1260 | 0.0000          |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Tokenizers 0.21.0