---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: por1-large
  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. -->

# por1-large

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.8243

## 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: 0.0001
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- 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

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 5.2377        | 1.0   | 199  | 4.7570          |
| 4.5775        | 2.0   | 398  | 4.4276          |
| 4.4104        | 3.0   | 597  | 4.2903          |
| 4.3513        | 4.0   | 796  | 4.1978          |
| 4.1994        | 5.0   | 995  | 4.1112          |
| 4.1218        | 6.0   | 1194 | 4.0284          |
| 4.0366        | 7.0   | 1393 | 3.9422          |
| 3.938         | 8.0   | 1592 | 3.8810          |
| 3.9293        | 9.0   | 1791 | 3.8417          |
| 3.8732        | 10.0  | 1990 | 3.8243          |


### Framework versions

- Transformers 4.53.0
- Pytorch 2.4.1+cu121
- Datasets 2.14.7
- Tokenizers 0.21.0