---
library_name: transformers
license: mit
base_model: IAMRS23/RouteTisaleoGPT2
tags:
- generated_from_trainer
model-index:
- name: RouteTisaleoGPT2
  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. -->

# RouteTisaleoGPT2

This model is a fine-tuned version of [IAMRS23/RouteTisaleoGPT2](https://huggingface.co/IAMRS23/RouteTisaleoGPT2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0332
- Perplexity: 4718.9899

## 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
- lr_scheduler_warmup_steps: 100
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Perplexity |
|:-------------:|:------:|:----:|:---------------:|:----------:|
| 1.323         | 0.9804 | 100  | 0.0435          | 4779.9616  |
| 0.0424        | 1.9608 | 200  | 0.0357          | 4948.1139  |
| 0.0374        | 2.9412 | 300  | 0.0343          | 4729.6717  |
| 0.0358        | 3.9216 | 400  | 0.0360          | 4759.4082  |
| 0.0355        | 4.9020 | 500  | 0.0337          | 4736.7832  |
| 0.0349        | 5.8824 | 600  | 0.0345          | 4804.4681  |
| 0.0347        | 6.8627 | 700  | 0.0335          | 4938.8585  |
| 0.0345        | 7.8431 | 800  | 0.0333          | 4736.7832  |
| 0.0346        | 8.8235 | 900  | 0.0335          | 4759.4082  |
| 0.0341        | 9.8039 | 1000 | 0.0332          | 4718.9899  |


### Framework versions

- Transformers 4.48.2
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0